Updated on 2026/03/07

写真a

 
HAYASHI YOICHI
 
Organization
Undergraduate School School of Science and Technology Professor
Title
Professor
Other name(s)
Hayashi Yoichi
Profile
Prof. Yoichi Hayashi received the Dr. Eng. degree in systems engineering from Tokyo University of Science, Tokyo. Since 1996, he has been a full Professor at Computer Science Department, Meiji University, Tokyo. He was a visiting professor at University of Alabama at Birmingham and University of Canterbury (New Zealand). He was a visiting professor at University of Alabama at Birmingham and University of Canterbury (New Zealand). His current research interests include explainable AI (XAI), white box AI (“white boxing” AI), generative AI, explaining Deep-Learning models, white box machine learning, rule extraction, and explaining medical imaging. Authored 217 papers in the field of Computer Science, with 104 papers published in peer-reviewed journals and 113 papers presented at well-known international conferences. H-index score and number of citations in Scopus are 29 and 3521, respectively. Similarly, his H-index score and number of citations on Google Scholar are 42 and 7725, respectively. He has been awarded a paper on the equivalence of Neural Nets and Fuzzy Rule Sets selected as 1 of the 7 best papers from the Fuzzy Sets and Systems Vol. 100 memorial issue: J.J. Buckley, Y. Hayashi, E. Czogala, "On the Equivalence of Neural Nets and Fuzzy Expert Systems,” Fuzzy Sets and Systems, Vol. 100, Sup., pp. 145–150 (1999). He has been honored for being listed among World’s Top 2% Scientists in Artificial Intelligence for consecutive 2021 and 2022 by the Stanford University. Served as the Action Editor for Neural Networks, an Associate Editor for Artificial Intelligence in Medicine through many years. Currently, he serves as a reviewer for various grants submitted to the European Research Council (ERC) and Swiss National Science Foundation (SNSF). Additionally, he has reviewed manuscripts for reputable journals. He is a Life Member of IEEE since January 1, 2023.
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Degree

  • Dr. Engineering ( 1984.3   Tokyo University of Science )

  • MS. Engineering ( 1981.3   Tokyo University of Science )

Research Interests

  • メディカルAI

  • 説明できるディープラーニング

  • ディープラーニング

  • 説明できるAI

  • 人工知能

  • 生成AI

Research Areas

  • Life sciences / Healthcare management, medical sociology

  • Life sciences / Medical systems

  • Humanities & social sciences / Business administration

  • Life sciences / Radiology

  • Humanities & social sciences / Social law

  • Informatics / Biological, health, and medical informatics  / Medical AI

  • Other / Other  / AI finance

  • Humanities & social sciences / Money and finance  / Credit scoring

  • Informatics / Intelligent informatics  / Artificial Intelligence

  • Informatics / Soft computing  / eXplainable AI

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Education

  • Tokyo University of Science   Graduate School, Division of Science and Engineering   Management Science

    1981.4 - 1984.3

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    Country/Region: Japan

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  • Tokyo University of Science   Graduate School of Science and Engineering   Major in Management Science (Operations Research) Mainor in Systems Engieering

    1979.4 - 1981.3

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    Country/Region: Japan

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  • Department of Management of Science, Tokyo University of Science   School of Engineering   Department of Management Science

    1975.4 - 1979.3

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    Country/Region: Japan

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Research History

  • University of Canterbury, New Zealand   Professor   Visiting Professor

    2001.4 - 2002.1

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  • Ibaraki University   Department of Computer and Informarion Sciences   Associate Professor

    1990.4 - 1994.3

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  • University of Alabama at Birmingham, USA   Professor   Visiting Professor

    1990.4 - 1991.1

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  • Ibaraki University   Department of Computer and Informarion Sciences   Lecturer   Assistant Professor

    1986.4 - 1990.3

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  • 立石電機(現、オムロン)株式会社   中央研究所   研究員・ポスドク   研究員

    1985.4 - 1986.3

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  • Researcher

    1985.4 - 1986.3

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  • Information Processing Promotion Agency(IPA)   Technical Center   Project Leader

    1984.6 - 1985.3

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  • 情報処理振興事業協会(IPA)   技術センター   研究員・ポスドク   研究員

    1984.6 - 1985.3

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  • ISES Co Ltd.   Researher Postdoc

    1984.4 - 1984.5

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Professional Memberships

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Committee Memberships

  • IEEE   Life Senior Member  

    2023   

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  • IEEE   Senior Member  

    2000   

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  • IEEE   Member  

    1986   

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    Committee type:Academic society

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  •   Senior Member  

       

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Papers

  • Why do tree ensemble approximators not outperform the Re-cursive-Rule eXtraction algorithm? Reviewed International journal

    Soma Onishi, Masahiro Nishimura, Ryota Fujimura, Yoichi Hayashi

    Machine Learning & Knowledge Extraction   6   2024.3

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  • Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions International coauthorship International journal

    Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lecue, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf

    Information Fusion   106 ( 102301 )   1 - 22   2024.2

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    This paper not only highlights the advancements in XAI and its application in real-world scenarios but also addresses the ongoing challenges within XAI, emphasizing the need for broader perspectives and collaborative efforts. We bring together experts from diverse fields to identify open problems, striving to synchronize research agendas and accelerate XAI in practical applications. By fostering collaborative discussion and interdisciplinary cooperation, we aim to propel XAI forward, contributing to its continued success. Our goal is to put forward a comprehensive proposal for advancing XAI. To achieve this goal, we present a manifesto of 27 open problems categorized into nine categories. These challenges encapsulate the complexities and nuances of XAI and offer a road map for future research. For each problem, we provide promising research directions in the hope of harnessing the collective intelligence of interested stakeholders.

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  • Emerging Trends in Deep Learning for Credit Scoring: A Review Reviewed International journal

    Electronics   11 ( 19 )   3181   2022.10

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  • Use of an artificial intelligence-based rule extraction approach to predict an emergency cesarean section Reviewed International journal

    Nagayasu Y, Fujita D, Ohmichi M, Hayashi Y.

    International Journal of Gynecology and Obstetrics   2021.8

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  • Does deep learning work well for non-image structured data? Reviewed International journal

    Yoichi Hayashi

    Electronics   9 ( 9 )   2020.9

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  • One-dimensional convolutional neural networks with feature selection for highly concise rule extraction from credit scoring datasets with heterogeneous attributes Reviewed International journal

    Yoichi Hayashi, Naoki Takano

    Electronics   9 ( 8 )   1318   2020.8

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  • New unified insights on deep learning in radiological and pathological images: beyond quantitative performances to qualitative interpretation Reviewed International journal

    Yoichi Hayashi

    Informatics in Medicine Unlocked   19   100329   2020.6

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  • Artificial intelligence-based rule extraction approach to derive the upper limit of hemoglobin during anemia treatment in patients with predialysis chronic kidney disease Reviewed International journal

    Yoichi Hayashi, Kei Nakajima, Keisuke Nakajima

    Informatics in Medicine Unlocked   17   100262   2019.10

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  • Detection of lower albuminuria levels and early development of diabetic kidney disease using an artificial intelligence-based rule extraction approach Reviewed International journal

    Yoichi Hayashi

    Diagnostics   9 ( 4 )   133   2019.9

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  • Toward to transparency of deep learning in radiological imaging: Beyond quantitative to qualitative AI Invited Reviewed International journal

    Yoichi Hayashi

    Journal of Medical Artificial Intelligence   2   19   2019.9

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  • The right direction to be needed to develop a white-box deep learning in radiology, pathology, and ophthalmology: A short review Reviewed International journal

    Yoichi Hayashi

    Frontiers in Robotics and AI   6   2019.4

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  • Use of deep belief network for high-level abstraction small data sets using artificial intelligence with rule extraction Reviewed International journal

    Yoichi Hayashi

    Neural Computation   30 ( 10 )   3309 - 3326   2018.10

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:MIT Press  

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  • High accuracy-priority rule extraction for reconciling accuracy an interpretability in credit scoring Reviewed International journal

    Yoichi Hayashi, Tatsuhiro Oisi

    New Generation Computing   36 ( 4 )   393 - 418   2018.9

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  • Volumetric brain tumor detection from MRI using visual saliency Reviewed International journal

    Somosmita Mitra, Subhashis Banerjee, Yoichi Hayashi

    PLOS ONE   12 ( 11 )   2017.12

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  • Characterization of Symbolic Rules Embedded in Deep DIMLP Networks: a Challenge to Transparency of Deep Learning Reviewed International journal

    Guido Bologna, Yoichi Hayashi

    Journal of Artificial Intelligence and Soft Computing Research   7 ( 4 )   265 - 286   2017.4

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  • Credit scoring using neural networks trained with augmented discretized inputs

    Arunulfo Azcarraga, Yoichi Hayashi and Rudy Setiono

    Proceedings of the 12th International Decision Sciences Institute Conference, Bali, Indonesia   1412-1426   2013.7

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  • Ensemble neural network rule extraction using Re-RX algorithm

    Atsushi Hara and Yoichi Hayashi

    Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia   604-609   2012.6

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    DOI: 10.1109/IJCNN.2012.6252446

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  • Greedy rule generation from discrete data and its use in neural network rule extraction

    Koichi Odajima, Yoichi Hayashi, T. Gong and Rudy Setiono

    Elsevier, Neural Networks   21 ( 7 )   1020-1028 - 1028   2008.9

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    DOI: 10.1016/j.neunet.2008.01.003

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  • Knowledge Acquisition in the Fuzzy Knowledge Representation Framework of a Medical Consultation System

    Boegl, K, Adlassnig, K.P., Rothenflush, T.E., Leitich, H., Hayashi, Y.

    Elsevier Artificial Intelligence in Medicine   30 ( 1 )   1-26 - 26   2004.1

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    DOI: 10.1016/S0933-3657(02)00073-8

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  • Combining neural network predictions for medical diagnosis

    Hayashi, Y.(教授), Setiono, R.*(National Univ. of Singapore 準教授)

    Elsevier Computers in Biology and Medicine   Vol.32 ( 4 )   237-246 - 246   2002.7

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    DOI: 10.1016/S0010-4825(02)00006-9

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  • Neuro-Fuzzy Rule Generation: Survey in Soft Computing Framework

    Mitra, S.*(Indian Statistical Institute), Hayashi, Y.(教授)

    IEEE Trans.on Neural Networks,   11 ( 3 )   748-768 - 768   2000.5

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    DOI: 10.1109/72.846746

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  • On the Equivalence of Neural Nets and Fuzzy Expert Systems Reviewed International coauthorship International journal

    Buckley, J.J.*(University of Alabama at Birmingham, 准教授), 林陽一(教授), Czogala, E.*(Technical University of silesia, 教授)

    Fuzzy Sets and Systems   Vol.100   145-150 - 150   1999.4

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    DOI: 10.1016/S0165-0114(99)80010-4

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  • Can Approximate Reasoning be Consistent ?

    Buckley, J. J.*(Univ. of Alabama at Birmingham・準教授), Hayashi, Y.(教授)

    ElsevierFuzzy Sets and Systems   Vol.65 No.1 ( 1 )   13-18 - 18   1994.7

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    DOI: 10.1016/0165-0114(94)90243-7

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  • Genetic Learning Algorithms for Fuzzy Neural Nets

    Krishnamaraju, P. V.*(Univ. of Alabama at Birmingham・学生), Buckley, J. J.*(Univ. of Alabama at Birmingham・準教授), Reilly, K. D.*(Univ. of Alabama at Birmingham・教授), Hayashi, Y.(教授)

    IEEEProc. of the Third IEEE Inter. Conf. on Fuzzy Systems(FUZZ-IEEE'94)   Vol.111   1969-1974 - 1974   1994.6

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  • Can Fuzzy Neural Nets Approximate Continuous Fuzzy Funcrions ?

    Buckley, J. J.*(Univ. of Alabama at Birmingham・準教授), Hayashi, Y.(教授)

    ElsevierFuzzy Sets and Systems   Vol.61 No.1 ( 1 )   43-51 - 51   1994.1

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    DOI: 10.1016/0165-0114(94)90283-6

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  • Approximations Between Fuzzy Expert Systems and Neural Networks

    Yoichi Hayashi(教授), James J.Buckley*(助教授)

    International Journal of Approximate Reasoning   Vol.10 No.1 ( 1 )   63-73 - 73   1994

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    DOI: 10.1016/0888-613X(94)90009-4

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  • Fuzzy Neural Networks : A Survey

    Kelly, J.M.(教授), Yoichi Hayashi(教授)

    ElesvierFuzzy Sets and Systems   Vol.66 No.1 ( 1 )   1-13 - 13   1994

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  • Neural Expert System Using Fuzzy Teaching Input and Its Application to Medical Diagnosis

    Y HAYASHI

    ElsevierINFORMATION SCIENES:Applications   Vol.1 No.1 ( 1 )   47-58 - 58   1994

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  • Numerical Relationships Between Neural Networks, Continuous Functions, and Fuzzy Sets and Systems

    Buckley, J. J.*(Univ. of Alabama at Birmingham・準教授), Hayashi, Y.(教授)

    ElsevierFuzzy Sets and Systems   Vol.60 No.1 ( 1 )   1-8 - 8   1993.11

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  • On the Equivalence of Neural Nets and Fuzzy Expert Systems

    James J.Buckley*(助教授), Yoichi Hayashi(教授), Ernest Czogala(教授)

    North-HollandFuzzy Sets and Systems   vol.53 No.2 ( 2 )   129-134 - 134   1993

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    DOI: 10.1016/0165-0114(93)90167-G

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  • Neural Expect Systems Using Fuzzy Teaching Input and Its Application to Medical Diagnosis

    Hayashi, Y(教授)

    FLSIProc. of 2nd Inter. Conf. On Fuzzy Logic and Neural Networks(IIZUKA'92)   989-993   1992.7

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  • Systems Engineering Applications of Fuzzy Neural Networks

    Hayashi, Y(教授), Buckley, J. J.*(Univ. of Alabama at Birmingham・教授), Czogala, E*(Technical Univ. of Silesia・教授)

    IEEEProc. of Inter. Joint Conf. on Neural Networks(IJCNN'92)   Vol.11   413-418   1992.6

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  • Fuzzy Neural Controller

    Hayashi, Y(教授), Czogala, E*(Techinical Univ. of Silesia・教授)

    IEEEProc. Of IEEE Inter. Conf. On Fuzzy Systems(FUZZ-IEEE'92)   197-202 - 202   1992.3

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  • Systems Engineering Applications of Fuzzy Neural Networks

    Yoichi Hayashi(教授), James J.Buckley*(助教授), Czogala, E(教授)

    Springer-VerlagJ.of Systyems Engineering   vo.2   232-236   1992

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  • Prospects for Revolutionary and Popular AI Technology Following the Launch of ChatGPT in 2023 Invited International journal

    Yoichi Hayashi

    Electronics   13 ( 290 )   2024.1

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  • Meet the editors: Interview with Dr. Yoichi Hayashi—Section Editor-in-Chief of Section “Artificial Intelligence” in Electronics Invited International coauthorship International journal

    Electronics   2023.7

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  • PERFORMANCE ANALYSIS OF ROUGH SET–BASED HYBRID CLASSIFICATION SYSTEMS IN THE CASE OF MISSING VALUES Reviewed International coauthorship International journal

    R.K. Nowicki, R. Seliga, D. Zelasko, Yoichi Hayash

    Journal of Artificial Intelligence and Soft Computing Research   11 ( 2 )   307 - 318   2021.4

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  • HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM Reviewed International coauthorship International journal

    Piotr Dziwi´nski, Andrzej Przybył, Paweł Trippner, Józef Paszkowski, Yoichi Hayashi

    Journal of Artificial Intelligence and Soft Computing Research   11 ( 3 )   243 - 266   2021.1

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  • 近未来の医療:AIと未来医療 Invited

    林 陽一

    純真の翼   7   7 - 8   2020.7

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    Language:Japanese   Publisher:純真学園大学  

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  • ホワイトボックス化した人工知能を用いた緊急帝王切開術の検出 Reviewed

    日本超音波学会誌   47   2020

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  • Browser Fingerprint Coding Methods Increasing The Effectiveness of User Identification in The Web Traffic Reviewed International journal

    Marcin Gabryel, Konrad Grzanek, Yoichi Hayashi

    Journal of Artificial Intelligence and Soft Computing Research   10 ( 4 )   243 - 253   2019.12

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  • Rough Support Vector Machine for Classification with Interval and Incomplete Data Reviewed International journal

    Nowicki Robert K, Grzanek K, Yoichi Hayashi

    Journal of Artificial Intelligence and Soft Computing Research   10 ( 1 )   47 - 56   2019.12

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  • Rough Support Vector Machine for Classification with Interval and Incomplete Data Reviewed International journal

    Nowicki Robert K, Grzanek K, Yoichi Hayashi

    Journal of Artificial Intelligence and Soft Computing Research   10 ( 1 )   47 - 56   2019.10

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  • The non-invasive prediction prediction of non-alcoholic steatohepatitis (NASH) in Japanese patients with morbid obesity by artificial intelligence using rule extraction technology Reviewed International journal

    Daisuke Uehara, Yoichi Hayashi, Yosuke Seki, Satoru Kakizaki, Norio Horiguchi, Hiroaki Hashizume, Hiroki Tojima, Yuichi Yamazaki, Ken Sato, Motoyasu Kusano, Masanobu Yamada, and Kazunori Kasama

    World Journal of Hepatology   10 ( 12 )   934 - 943   2018.12

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    AIM: To construct a non-invasive prediction algorithm for predicting non-alcoholic steatohepatitis (NASH), we investigated Japanese morbidly obese patients using artificial intelligence with rule extraction technology. METHODS: Consecutive patients who required bariatric surgery underwent a liver biopsy during the operation. Standard clinical, anthropometric, biochemical measurements were used as parameters to predict NASH and were analyzed using rule extraction technology. One hundred and two patients, including 79 NASH and 23 non-NASH patients were analyzed in order to create the prediction model, another cohort with 77 patients including 65 NASH and 12 non-NASH patients were analyzed to validate the algorithm. RESULTS: Alanine aminotransferase, C-reactive protein, homeostasis model assessment insulin resistance, albumin were extracted as predictors of NASH using a recursive-rule extraction algorithm. When we adopted the extracted rules for the validation cohort using a highly accurate rule extraction algorithm, the predictive accuracy was 79.2%. The positive predictive value, negative predictive value, sensitivity and specificity were 88.9%, 35.7%, 86.2% and 41.7%, respectively. CONCLUSION: We successfully generated a useful model for predicting NASH in Japanese morbidly obese patients based on their biochemical profile using a rule extraction algorithm.

    DOI: 10.4254/wjh.v10.i12.934

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  • A comparison study on rule extraction from neural network ensembles, Boosted shallow trees and SVMs Reviewed International journal

    Guido Bologna, Yoichi Hayashi

    Applied Computional Intelligence and Soft Computing   2018   2018.1

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    DOI: 10.1155/2018/4084850

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  • A Rule Extraction Study from SVM on Sentiment Analysis Reviewed International journal

    Guido Bologna, Yoichi Hayashi

    Big Data and Cognitive Computing   2 ( 6 )   2018.1

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  • Optimality and convergence for convex ensemble learning with sparsity and diversity based on fixed point optimization Reviewed

    Yoichi Hayashi, Hideaki Iiduka

    NEUROCOMPUTING   273   367 - 372   2018.1

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    DOI: 10.1016/j.neucom.2017.07.046

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  • Synergy effects between grafting and subdivision in Re-RX with J48graft for the diagnosis of thyroid disease Reviewed

    Yoichi Hayashi

    KNOWLEDGE-BASED SYSTEMS   131   170 - 182   2017.9

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    DOI: 10.1016/j.knosys.2017.06.011

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  • Rule extraction using Recursive-Rule extraction algorithm with J48graft combined with sampling selection techniques for the diagnosis of type 2 diabetes mellitus in the Pima Indian dataset Reviewed

    Yoichi Hayashi, Shonosuke Yukita

    Informatics in Medicine Unlocked   2   92 - 104   2016.12

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Elsevier Ltd  

    DOI: 10.1016/j.imu.2016.02.001

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  • Neural network training and rule extraction with augmented discretized input Reviewed

    Yoichi Hayashi, Rudy Setiono, Arnulfo Azcarraga

    NEUROCOMPUTING   207   610 - 622   2016.9

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    DOI: 10.1016/j.neucom.2016.05.040

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  • SPMoE: a novel subspace-projected mixture of experts model for multi-target regression problems Reviewed

    Esmaeil Hadavandi, Jamal Shahrabi, Yoichi Hayashi

    SOFT COMPUTING   20 ( 5 )   2047 - 2065   2016.5

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    DOI: 10.1007/s00500-015-1623-7

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  • A Novel GBM Saliency Detection Model Using Multi-Channel MRI Reviewed

    Subhashis Banerjee, Sushmita Mitra, B. Uma Shankar, Yoichi Hayashi

    PLOS ONE   11 ( 1 )   2016.1

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    DOI: 10.1371/journal.pone.0146388

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  • Accuracy of rule extraction using a recursive-rule extraction algorithm with continuous attributes combined with a sampling selection technique for the diagnosis of liver disease Reviewed

    Yoichi Hayashi, Kazuhiro Fukunaga

    Informatics in Medicine Unlocked   5   26 - 38   2016

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Elsevier Ltd  

    DOI: 10.1016/j.imu.2016.10.001

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  • Recursive-rule extraction algorithm with J48graft and applications to generating credit scores Reviewed

    Yoichi Hayashi, Yuki Tanaka, Tomohiro Takagi, Takamichi Saito, Hideaki Iiduka, Hiroaki Kikuchi, Guido Bologna, Sushmita Mitra

    Journal of Artificial Intelligence and Soft Computing Research   6 ( 1 )   35 - 44   2016

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:De Gruyter Open Ltd  

    DOI: 10.1515/jaiscr-2016-0004

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  • Application of a rule extraction algorithm family based on the Re-RX algorithm to financial credit risk assessment from a Pareto optimal perspective Reviewed

    Yoichi Hayashi

    Operations Research Perspectives   3   32 - 42   2016

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Elsevier Ltd  

    DOI: 10.1016/j.orp.2016.08.001

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  • Using Sample Selection to Improve Accuracy and Simplicity of Rules Extracted from Neural Networks for Credit Scoring Applications Reviewed

    Rudy Setiono, Arnulfo Azcarraga, Yoichi Hayashi

    International Journal of Computational Intelligence and Applications   14 ( 4 )   1550021-1 - 1550021-20   2015.12

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:World Scientific Publishing Co.  

    DOI: 10.1142/S1469026815500212

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  • Use of a Recursive-Rule eXtraction algorithm with J48graft to achieve highly accurate and concise rule extraction from a large breast cancer dataset Reviewed

    Yoichi Hayashi, Satoshi Nakano

    Informatics in Medicine Unlocked   1   9 - 16   2015

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    DOI: 10.1016/j.imu.2015.12.002

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  • Use of the recursive-rule extraction algorithm with continuous attributes to improve diagnostic accuracy in thyroid disease Reviewed

    Yoichi Hayashi, Satoshi Nakano, Shota Fujisawa

    Informatics in Medicine Unlocked   1   1 - 8   2015

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    DOI: 10.1016/j.imu.2015.12.003

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  • Comparative Study of Performances on the Family of the Recursive-Rule Extraction Algorithm

    Yoichi Hayashi, Yuki Tanaka, Shota Fujisawa, Tomoki Izawa

    Proceedings of the 24nd International Conference on Artificial Neural Networks (ICANN 2014, accepted for oral presentation), Hamburg, Germany, Lecture Notes in Computer Science (LNCS)   2014.9

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    DOI: 10.1007/978-3-319-11179-7_62

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  • Comparative Study of Performances on the Family of the Recursive-Rule Extraction Algorithm

    Yoichi Hayashi, Yuki Tanaka, Shota Fujisawa and Tomoki Izawa

    Proceedings of the 24nd International Conference on Artificial Neural Networks (ICANN 2014, accepted for oral presentation), Hamburg, Germany, Lecture Notes in Computer Science (LNCS)   2014.9

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  • Survey on the Family of the Recursive-Rule Extraction Algorithm Reviewed International journal

    Yoichi Hayashi, Tomohiro Takagi, Hiroyuki Mori, Hiroaki Kikuchi, Takamichi Saito, Hideaki Iiduka, Sayaka Akioka

    Journal of Computer Science Technology Updates   1 ( 1 )   26 - 34   2014.8

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  • MofN Rule Extraction from Neural Networks Trained with Augmented Discretized Input

    Rudy Setiono, Arnulfo Azcarraga and Yoichi Hayashi

    Proceedings of the IEEE 2014 International Joint Conference on Neural Networks (IJCNN 2014, accepted for oral presentation), Beijing, China   1079 - 1086   2014.7

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    DOI: 10.1109/IJCNN.2014.6889691

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  • New Method for Dynamic Signature Verification Based on Global Features

    Marcin Zalasinski, Krzysztof Cpalka and Yoichi Hayashi

    Proceedings of the 13th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2014, accepted), Zakopane, Poland, Lecture Notes in Artificial Intelligence (LNAI)   8468   231 - 245   2014.6

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  • Neural network rule extraction by a new ensemble concept and its theoretical and historical background: A review

    Yoichi Hayashi

    International Journal of Computational Intelligence and Applications   12 ( 4 )   1340006-1-1340006-22   2013.12

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    DOI: 10.1142/S1469026813400063

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  • A New Approach to Three Ensemble Neural Network Rule Extraction Using Recursive-Rule eXtraction algorithm

    Yoichi Hayashi, Ryusuke Sato and Sushmita Mitra

    Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 2013), Dallas, TX   835-841   2013.8

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    DOI: 10.1109/IJCNN.2013.6706823

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  • Using neural network for visualizing poverty

    A. Azcarraga, C. Enriquez, Y. Hayashi and R. Setiono

    Proceedings of the 12th International Decision Sciences Institute Conference, Bali, Indonesia   1005-1023   2013.7

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  • Neural Data Analysis: Ensemble Neural Network Rule Extraction and Its Theoretical Backgrounds (Keynote Speech and Invited Paper)

    Yoichi Hayashi

    Proceeding of the 12th International Conference on Artificial Intelligence and Soft Computing (ICAISC) 2013, to be held on Zakopane, Poland, Lecture Notes in Artificial Intelligence.   7894 ( 1 )   1-19 - 19   2013.6

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    DOI: 10.1007/978-3-642-38658-9_1

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  • On the Strong Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Non-stationary Environment

    Piotr Duda, Yoichi Hayashi and Maciej Jaworski

    Proceedong of the 11th International Conference Artificial Intelligence and Soft Computing (LNAI) Part I   7267   47-54 - 54   2012.4

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    DOI: 10.1007/978-3-642-29347-4_6

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  • Storong Convergence of the Recursive Parzen-Type Probabilistic Neural Network Handling Nonstationary Noise

    Lena Pietruczuk and Yoichi Hayashi

    Proceedings of the 11th Artificial Intelligence and Soft Computing, Lecture Notes in Arttificial Intelligence (LNAI),   7267   160-168 - 168   2012.4

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    DOI: 10.1007/978-3-642-29347-4_19

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  • A new neural data analysis approach using ensemble neural network rule extraction

    Atsushi Hara, Yoichi Hayashi

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   7552 ( 1 )   515 - 522   2012

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    DOI: 10.1007/978-3-642-33269-2_65

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  • Maximizing the area under ROC using pruned neural networks and its application to analyzing market survey data.

    Y. Hayashi, R. Setiono and M.H. Hsieh

    Proceedings of the 42nd Annual Meeting of the Decision Sciences Institute   2161-2166   2011.11

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  • Genetic Networks and Soft Computing

    Sushmita Mitra, Ranajit Das, Yoichi Hayashi

    IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS   8 ( 1 )   94 - 107   2011.1

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    DOI: 10.1109/TCBB.2009.39

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  • Understanding consumer heterogeneity: A business intelligence application of neural networks

    Yoichi Hayashi, Ming-Huei Hsieh, Rudy Setiono

    KNOWLEDGE-BASED SYSTEMS   23 ( 8 )   856 - 863   2010.12

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    DOI: 10.1016/j.knosys.2010.05.010

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  • Predicting consumer preference for fast-food franchises: a data mining approach

    Y. Hayashi, M-H Hsieh, R. Setiono

    JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY   60 ( 9 )   1221 - 1229   2009.9

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    DOI: 10.1057/palgrave.jors.2602646

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  • Predicting eating-out frequency of Taiwanese consumers: A business intelligence application of neural networks

    Yoichi Hayashi, Ming-Huei, Rudy Setiono

    Proceedings of the 10th International Conference Decision Science Institute, Nancy, France   651-670   2009.6

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  • Signal Peptide Sequence Analysis and Cleavage Site Prediction

    Takehito Yamada and Yoichi Hayashi

    GIW 2008 (CD-ROM Proceedings)   2008.12

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  • Greedy rule generation from discrete data and its use in neural network rule extraction

    Koichi Odajima, Yoichi Hayashi, T. Gong, Rudy Setiono

    Elsevier, Neural Networks   21 ( 7 )   1020-1028   2008.9

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    DOI: 10.1016/j.neunet.2008.01.003

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  • Knowledge-based generation of diagnostic hypotheses and therapy recommendations for toxoplasma infections in pregnancy

    Dieter Kopecky, Klaus-Peter Adlassnig, Andrea-Romana Prusa, Michael Hayde, Yoichi Hayashi, Birgit Panzenboeck, Andrea Rappelsberger, Arnold Pollak

    MEDICAL INFORMATICS AND THE INTERNET IN MEDICINE   32 ( 3 )   199 - 214   2007.9

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    DOI: 10.1080/14639230701446570

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  • Web-Based Decision Support in Selecting Patients with Parkinson's Disease for Deep Brain Stimulation

    Marcus Vitek, Michaela Pinter, Andrea Rappelsberger, Yoichi Hayashi and Klaus-Peter Adlassnig

    Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 20-22 June, 2007, Maribor, Slovenia   79-84 - +   2007.6

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    DOI: 10.1109/CBMS.2007.124

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  • Fuzzy Markov Chains

    Buckley, J.J., Feuring, T. and Hayashi, Y.

    International Fuzzy Mathematics Institute, Journal of Fuzzy Mathematics   14   723-737   2006.9

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  • Bioinformatics with soft computing

    Sushmita Mitra, Yoichi Hayashi

    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS   36 ( 5 )   616 - 635   2006.9

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    DOI: 10.1109/TSMCC.2006.879384

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  • Greedy rule generation from discrete data and its use in neural network rule extraction

    Koinchi Odajima, Yoichi Hayashi and Rudy Setiono

    Proceedings of IEEE International Joint Conference on Neural Networks   3499-3505 - +   2006.7

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  • Medical Intelligence Service Provider Based on Interconnected, Cooperating Medical Decision Support Improving Public Health through the Internet.

    Adlassnig, K.-P. and Hayashi Y.

    In Eysenbach, G. (Ed.) Book of the 11th World Congress on Internet in Medicine (MedNet 2006), JMIR Publications, Toronto, 15.   2006

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  • Fuzzy Eigenvalues

    James J. Buckley, Thomas Feuring, Hayashi, Y.

    International Fuzzy Mathematics Institute, Journal of Fuzzy Mathematics   13 ( 4 )   757-773   2005.12

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  • EmbeddedKnowledge-Based Diagnostic Intelligence to Interpret Hepatitis Serology Test Results

    Adlassnig, K.-P., Horak, W., Rappelsberger, A. and Hayashi, Y.

    Proceedings of the International Conference on Ibtelligent Agents, Web Technologies and Inyernet Commerce (IAWTIC'2005)   2   1080-1085 - +   2005.11

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  • ICU-Based Monitoring of Nosocomial Infections

    Adlassnig, K.-P., Blacky, A., Koller, W., nad Hayashi, Y.

    Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA'2005)   1   1054-1059 - +   2005.11

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  • ICU-Based Monitoring of Nosocomial Infections

    Adlassnig, K.-P., Blacky, A., Koller, W. and Hayashi, Y.

    Mohammadian, M. (Ed.) Proceedings of the International Conference on Intelligent Agents, Web Technologies & Internet Commerce (IAWTIC 2005), University of Canberra, Canberra, Australia, 139.   1054 - +   2005

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  • On Designing of Neuro-Fuzzy Systems

    Robert Nowicki, Agata Pokropinska, Hayashi, Y.

    Lecture Notes in Computer Science (Proceedings of International Conference on Parallel Processing and Applied Mathematics)   3019   641-649 - 649   2003.9

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  • Fuzzy inference neural networks with fuzzy parameters

    Danuta Rutkowska, Hayashi, Y.

    TASK QUARTERLY   7 ( 1 )   7-22   2003.4

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  • Solving fuzzy problems in operations research:inventory control

    Buckley, J. J.*(Univ. of Alabama at Birmingham・準教授), Feuring, T.*(Univ. of Siegen・助教授), Hayashi, Y.(教授)

    Springer Soft Computing   Vol.7 ( 3 )   121-129 - 2707   2003.3

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  • Solving fuzzy problems in operations research:inventory control

    Buckley, J. J, niv. of, Alabama at Birmingham, 準教授, Feuring, T, iv. of Siege, Hayashi, Y

    Springer Soft Computing   Vol.7   121-129   2003.3

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  • Linear systems of first order ordinary differential equations:fuzzy initial conditions

    Buckley, J. J.*(Univ. of Alabama at Birmingham・準教授), Feuring, T.*(Univ. of Siegen・助教授), Hayashi, Y.(教授)

    Springer Soft Computing   Vol.6   415-421   2002.12

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  • Fuzzy Difference Equations:The Initial Value Problem

    Buckley, J. J.*(Univ. of Alabama at Birmingham・準教授), Feuring, T.*(Univ. of Siegen・助教授), Hayashi, Y.(教授)

    Journal of Advanced Computational Intelligence   Vol.5   315-325   2002.11

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  • Intelligent Consultant

    Buckley, J. J.*(Univ. of Alabama at Birmingham・準教授), Feuring, T.*(Univ. of Siegen・助教授), Hayashi, Y.(教授)

    Journal of Advanced Computational Intelligence   Vol.5   119-124   2002.10

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  • Parallel Processing by Implication based Neuro-Fuzzy Systems

    Rutkowska, D.*(Technical Univ. of Czestochowa 教授), Nowicki, R.*(Technical Univ. of Czestochowa), Hayashi, Y.(教授)

    SpringerLecture Notes in Computer Science   Vol.2328   599-607 - 607   2002.10

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  • ニュージーランド・カンタベリー大学客員教授

    知能と情報   2002.4

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  • Solving fuzzy equations using evolutionary algorithms and neural nets

    Buckley, J. J.*(Univ. of Alabama at Birmingham・準教授), Feuring, T.*(Univ. of Siegen・助教授), Hayashi, Y.(教授)

    SpringerSoft Computing   Vol.6 No.2   116-123   2002.4

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  • Fuzzy Queueing Theory Revisited

    Buckley, J. J.*(Univ. of Alabama at Birmingham・準教授), Feuring, T.*(Univ. of Siegen・助教授), Hayashi, Y.(教授)

    World ScientificInter. Journal of Unceratainty, Fuzziness and Knowledge-Based Systems   Vol.9 No.5 ( 5 )   527-537 - 537   2001.10

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  • Multi-objective Fully Fuzzified Linear Programming

    Buckley, J. J.*(Univ. of Alabama at Birmingham・準教授), Feuring, T.*(Univ. of Siegen・助教授), Hayashi, Y.(教授)

    World ScientificInter. Journal of Uncertainty, Fuzziness and Knowledge-Based Systems   Vol.9 No.5 ( 5 )   605-621 - 621   2001.10

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  • Learning M-of N Concepts for Medical Diagnosis Using Neural Networks

    Hayashi, Y.(教授), Setino, R.*(Naional Univ. of Singapore 準教授), Yoshida, K.*(St.Marianna Univ. of Medicine 教授)

    Fuji Technology Press Ltd.Journal of Advanced Computational Intelligence   Vol.4,No.4   294-301   2001.8

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  • Solving Fuzzy Problems in Operations Research : Inventry Control

    Buckley, J. J, niv. of, Alabama at Birmingham, 準教授, Feuring, T, iv. of Siege, Hayashi, Y

    IEEEProc. IFSA/NAFIPS 2001   2704-2707   2001.7

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  • Fuzzy Markov Chains

    Buckley, J.J.*(Univ.of Alabama at Birmingham 準教授), Feuring,T.*(Univ. of Siegen 助教授), Hayashi, Y.(教授)

    IEEEProc. IFSA/NAFIPS 2001   2708-2711 - 2711   2001.7

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  • Fuzzy Hierarchical Analysis Revisited

    Buckley, J.J.*(Univ.of Alabama at Birmingham), Feuring, T.*(Univ.of Siegen), Hayashi, Y.(教授)

    ElsevierEuropean Journal of Operational Research,   Vol.129 №1 ( 1 )   48-64 - 64   2001.2

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    DOI: 10.1016/S0377-2217(99)00405-1

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  • Computational intelligence methods and data understanding, In: Quo Vadis computational Intelligence?

    Duch, W.*(Nicolas Copernics Unv.), Hayashi, Y.(教授)

    Springer-VerlagNew trends and approaches in computational intelligence,   Vol.54   256-270   2000.12

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  • Eliminators and Classifiers

    Duch, W.*(Nicolas Copernicus Univ.), Adamczak, R.*(Nicolas Coeprnicus Univ.), Hayashi, Y.(教授)

    APNNAProceedings of 7th International Conference on Neural Information Processing (ICONIP'2000),   1029-1034   2000.11

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  • A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders

    Yoichi Hayashi, Rudy Setiono, Katsumi Yoshida

    Artificial Intelligence in Medicine   20 ( 3 )   205 - 216   2000.11

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    DOI: 10.1016/S0933-3657(00)00064-6

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  • Solving Fuzzy Problems in Operation Research: Inventory Control

    Buckley, J.J.*(Univ.of Alabama at Birmingham), Feuring, T.(Univ.of Siegen), Hayashi, Y.(教授)

    IEEEProceedings of the 9th IEEE international Conference on Fuzzy Systems (FUZZ-IEEE'2000),   Vol.1   352-357 - 357   2000.5

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  • Fuzzy Integral Equation

    Bukcley, J.J.*(Univ.of Alabama at Birmingham), Feuring, T.*(Univ.of Siegen), Hayashi, Y.(教授)

    IEEEProceedings of the 9th International Conference on Fuzzy Systems(FUZZ-IEEE'2000),   Vol.1   319-323 - 323   2000.5

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  • Fuzzy and Crisp logical rule extraction method in application to medical data

    Duch, W.*(Nicolas Copernics Unv.), Adamczak, R.*(ibid.), Grabczewski, K.*(ibid.), Hayashi, Y.(教授)

    Springer-verlagFuzzy systems in Medicine, Studies in Fuzziness and Soft Computing,   Vol.41   593-616   2000.4

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  • Fuzzy and Crisp Logical rule extraction methods in application to medical date (共)

    Springer Verlag Fuzzy Systems in Medicine   41   593-616   2000

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  • Computational intelligence methods and data understanding

    In : Quo Vadis computational Intelligence? New trends and approaches inc Soft Computing, Springer Verlag   54   256-270   2000

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  • Multivariate Non-Linear Fuzzy Regression

    Buckley, J.J.*(University of Alabama at Birmingham, 准教授), Feuring, T*(University of Siegen, 講師), 林陽一(教授)

    IEEEProc. of the 8th IEEE Internatinal Conference on Fuzzy Systems   Vol.2   714-718   1999.8

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  • Editorial for Special Issue: Professor Ernest Czogala Memorial Issue Part 2

    Journal of Advanced Computational Intelligence   3 ( 4 )   213-214   1999.8

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  • Fuzzy Hierarchical Analysis Revisited

    Buckley, J.J.*(University of Alabama at Birmingham, 准教授), Feuring, T*(University of Siegen, 講師), 林陽一(教授)

    IFSAProc. of IFSA'99   Vol.1   1-5   1999.8

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  • Overfitting: A Fuzzy Neural Net Solution

    Feuring, T*(University of Siegen, 講師), Buckley, J.J.*(University of Alabama at Birmingham, 准教授), 林陽一(教授)

    IEEEProc. of the 8th IEEE Internatinal Conference on Fuzzy Systems   Vol.1   61-65   1999.8

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  • Fuzzy Hierachical Analysis

    Buckley, J.J.*(University of Alabama at Birmingham, 准教授), Feuring, T*(University of Siegen, 講師), 林陽一(教授)

    IEEEProc. of the 8th IEEE Internatinal Conference on Fuzzy Systems   Vol.2   1009-1013   1999.8

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  • Fuzzy Initial Value problem for N-th Order Linear Differential Equations

    Buckley, J.J.*(University of Alabama at Birmingham, 准教授), Feuring, T*(University of Siegen, 講師), 林陽一(教授)

    IFSAProc. of IFSA'99   Vol.1   471-475   1999.8

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  • Multivariate Non-Linear Fuzzy Regression

    Buckley,J.J, iversity of Alabama at Birmingham, 准教授),Feuring,T, rsity of Siegen, 林陽一

    IEEEProc. of the 8th IEEE Internatinal Conference on Fuzzy Systems   Vol.2   714-718   1999.8

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  • Fuzzy Hierachical Analysis

    Buckley,J.J, iversity of Alabama at Birmingham, 准教授),Feuring,T, rsity of Siegen, 林陽一

    IEEEProc. of the 8th IEEE Internatinal Conference on Fuzzy Systems   Vol.2   1009-1013   1999.8

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  • Fuzzy Hierarchical Analysis Revisited

    Buckley,J.J, iversity of Alabama at Birmingham, 准教授),Feuring,T, rsity of Siegen, 林陽一

    IFSAProc. of IFSA'99   Vol.1   1-5   1999.8

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  • Evolutionary Algorithm Solution to Multivariate Non-Linear Fuzzy Regression

    Buckley, J.J.*(Univ.of Alabama at Birmingham 準教授), Feuring,T.*(Univ. of Siegen 助教授), Hayashi, Y.(教授)

    IEEEProc. of IFSA'99   Vol.1   440-443   1999.8

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  • Fuzzy Difference Equations:The Initial Value Problem

    Buckley, J.J.*(University of Alabama at Birmingham, 准教授), Feuring, T*(University of Siegen, 講師), 林陽一(教授)

    IFSAProc. of IFSA'99   Vol.2   1037-1041   1999.8

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  • A Classifier Based on Neuro-Fuzzy Inference System

    Czogala, E.*(Technical Univ. of Silesia 教授), Leski, J..*(Technical Univ. of Silesia 教授), Hayashi, Y.(教授)

    Fuji Technology Press Ltd.Journal of Advanced Computational Intelligence   Vol.3,No. 4   282-288   1999.8

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  • Diagnosis of hepatobiliary disorders using rules extracted from artificial neural networks

    林陽一(教授), Setino, R*(University of Singapore, 助教授)

    IEEEProc. of the 8th IEEE Internatinal Conference on Fuzzy Systems   Vol.1   344-348   1999.8

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  • Neural Nets, Fuzzy and Crisp, in the Design of an Artificial Agent

    Buckley, J.J.*(Univ.of Alabama at Birmingham 準教授), Feuring,T.*(Univ. of Siegen 助教授), Hayashi, Y.(教授)

    IEEEProc. Of Int. Joint Conference on Neural Networks(IJCNN'99)   Vol.4   2414-2418   1999.7

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  • Fuzzy Neural Nets Can Solve the Overfitting Problem

    Buckley, J.J.*(Univ.of Alabama at Birmingham 準教授), Feuring,T.*(Univ. of Siegen 助教授), Hayashi, Y.(教授)

    IEEEProc. Of International Joint Conference on Neural Networks(IJCNN'99)   Vol.6   4197-4201   1999.7

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  • Neuro-Fuzzy systems Approaches

    Rutkowska, Danuta*(Techinical University of Czestochowa, 教授), 林陽一(教授)

    Fuji Technology Press Ltd.Journal of Advanced Computational Intelligence   Vol.3No.3   177-185   1999.6

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  • Editorial for Special Issue: Professor Ernest Czogala Memorial Issue Part 1

    Journal of Advanced Computational Intelligence   3 ( 3 )   149-150   1999.6

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  • Solving Fuzzy Problems in Operations Reseach

    Buckley, J.J.*(University of Alabama at Birmingham, 准教授), Feuring, T*(University of Siegen, 講師), 林陽一(教授)

    Fuji Technology Press Ltd.Journal of Advanced Computational Intelligence   Vol.3No.3   171-176   1999.6

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  • Fuzzy Geometry Database

    Buckley, J.J.*(University of Alabama at Birmingham, 准教授), Feuring, T*(University of Siegen, 講師), 林陽一(教授)

    Fuji Technology Press Ltd.Journal of Advanced Computational Intelligence   Vol.3No.3   164-170   1999.6

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  • Multivariate non-linear fuzzy regression: An evolutionary algorithm approach Reviewed

    JJ Buckley, T Feuring, Y Hayashi

    INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS   7 ( 2 )   83 - 98   1999.4

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    DOI: 10.1142/S0218488599000076

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  • Multivariate Non-Liner Fuzzy Regression : An Evolutionary Algorithm Approach

    Buckley,J.J, iversity of Alabama at Birmingham, 准教授),Feuring,T, rsity of Siegen, 林陽一

    World ScientificInternational Journal of Uncertainty,Fuzziness and Knowledge-Based Systems   Vol.7No.2   83-98   1999.4

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    DOI: 10.1142/S0218488599000076

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  • Can Neural Nets be Universal Approximators for Fuzzy Functions?

    Buckley.J.J.*(准教授), Yoichi Hayashi(教授)

    Fuzzy Sets and Systems   Vol.101 №3 ( 3 )   514(323-330) - 330   1999.2

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    DOI: 10.1016/S0165-0114(97)00069-9

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  • On the equivalence of neural nets and fuzzy expert systems Reviewed

    JJ Buckley, Y Hayashi, E Czogala

    FUZZY SETS AND SYSTEMS   100   145 - 150   1999

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    DOI: 10.1016/S0165-0114(99)80010-4

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  • Neural Net Solution to Fuzzy Linear Programming

    JJ Buckley, T Feuring, Y Hayashi

    Fuzzy Sets and Systems   106 ( 2 )   99-111 - 111   1999

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    DOI: 10.1016/S0165-0114(97)00293-5

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  • Neuro-Fuzzy systems Approaches Reviewed International journal

    Journal of Advanced Computational Intelligence   3 ( 3 )   177-185   1999

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  • Fuzzy Difference Equations : The Initial Value Problem Reviewed International journal

    Jamaes J. Buckley, Yoichi Hayashi

    IFSA Proc. of IFSA'99   2   1037 - 1041   1999

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  • Fuzzy Geometry Database Reviewed

    James J. Buckley, Yoichi Hayashi

    Journal of Advanced Computational Intelligence   3 ( 3 )   164 - 170   1999

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  • Artificial Agent (共)

    IEEE proc. of the 8th IEEE International Conference on Fuzzy Systems   3   1460-1464   1999

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  • Diagnosis of hepatobiliary disorders using rules extracted from artificial neural networks (共)

    Yoichi Hayashi and Rudy Setiono

    IEEE Proc. of the 8th IEEE international Conference on Fuzzy Systems, Seoul, Korea   1   344-348   1999

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  • A Proposal for Fuzzy Rule Generalization to Design Classifiers

    Nikhil R.Pal*(教授), Yoichi Hayashi(教授)

    World ScientificProc.of International Conference on Soft Computing and Information/Intelligent Systems(IIZUKA'98)   Vol.2   1022(971-974)   1998.10

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  • Application of Fuzzy Chaos to Fuzzy Simulation

    Buckley.J.J.*(准教授), Yoichi Hayashi(教授)

    Fuzzy Sets and Systems   Vol.99 №2 ( 2 )   239(151-157) - 157   1998.10

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    DOI: 10.1016/S0165-0114(97)00023-7

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  • SUM-PI network:A new multilayer feed forward neural network

    Nikhil R.Pal*(教授), Yoichi Hayashi(教授)

    IOS PressProc.of Fifth International Conference on Neural Information Processing(ICONIP'98)   Vol.2   1673(687-690) - 690   1998.10

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  • Automated Extraction of Fuzzy IF-Then Rules and its Application to Medical Diagnosis

    Les Sztandera*(教授), Yoichi Hayashi(教授)

    EDKProc.of the seventh Int. Conf. On Information Processing Management of Uncertainty in knowledge-Based Systems(IPMU'98)   Vol.2   1925 (1907-1908)   1998.7

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  • Fully Fuzzified Linear Programming:An Evolutionary Algorithm

    Thomas Feuring*(助教授), James J.Buckley*(准教授), Yoichi Hayashi(教授)

    IEEEProc.of 1998 IEEE Int. Conf. On Fuzzu Systems(FUZZ-IEEE'98)   Vol.1   1689(611-616) - 616   1998.5

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  • Fuzzy regression:An Evolutionary Algorithm Approach

    Thomas Feuring*(助教授), James J.Buckley*(准教授), Yoichi Hayashi(教授)

    IEEEProc.of 1998 IEEE Int. Conf. On Fuzzu Systems(FUZZ-IEEE'98)   Vol.1   1689(704-708) - 708   1998.5

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  • A Gradient Decent Learning Algorithm for Fuzzy Neural Networks

    Thomas Feuring*(助教授), James J.Buckley*(准教授), Yoichi Hayashi(教授)

    IEEEProc.of 1998 IEEE Int. Conf. On Fuzzu Systems(FUZZ-IEEE'98)   Vol.2   1689(1136-1141) - 1141   1998.5

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  • Verbal Controlling

    Thomas Feuring*(助教授), James J.Buckley*(准教授), Yoichi Hayashi(教授)

    IEEEProc.of the second International Cnference on Knowledge - based Intelligent Electronic Systems(KES'98)   Vol.2   1464(407-414) - 414   1998.4

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  • Adjusting Fuzzy Weights in Fuzzy Newral Nets

    Thomas Feuring*(助教授), James J.Buckley*(准教授), Yoichi Hayashi(教授)

    IEEEProc.of the second International Cnference on Knowledge - based Intelligent Electronic Systems(KES'98)   Vol.2   1464(402-406) - 406   1998.4

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  • IEEE Trans. on Fuzzy Systems誌のAssociat Editor

    1998.1

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  • Can Neural Nets be Universal Approximators for Fuzzy Functions? Reviewed

    JamesJ.Buckley*(助教授), YoichiHayashi(教授)

    Proc. of 6th IEEE Int. Conf. on Fuzzy Systems Vol.2   1101-1104 - 1104   1997.7

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  • Can Neural Nets be Universal Approximators for Fuzzy Functions?

    JamesJ.Buckley, YoichiHayashi

    Proc. of 6th IEEE Int. Conf. on Fuzzy Systems Vol.2   1101-1104   1997.7

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  • Neural Net Approximations to Solutions of Systems of Fuzzy Linear Equations

    JamesJ.Buckley*(助教授), YoichiHayashi(教授)

    Proc. of 1997 IEEE Int. Conf. on Neural Networks   2355-2358 - 2358   1997.6

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  • Fuzzy Differential Equations : A New Solution

    JamesJ.Buckley*(助教授), YoichiHayashi(教授)

    Proc. of 7th IFSA World Congress, Vol.2   27-30   1997.6

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  • A new Fuzzy Intersections and Union

    JamesJ.Buckley*(助教授), YoichiHayashi(教授)

    Proc. of 7th IFSA World Congress, Vol.1   49-54   1997.6

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  • Diagnosing Hepatobiliary Disorders Using a Fuzzy System

    Sztandera, L. M.*, McDermott, M.*, Banks, R*, Hayashi, Y.

    Proc. of Joint Conference Information Sciences   Vol.1   222-223   1997.3

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  • Solving Fuzzy Equations Using Neural Nets

    James J.Buckley*(助教授), Eslami, E and (助教授), Yoichi Hayashi(教授)

    ElsevierFuzzy Sets and Systems   Vol.86 No.3 ( 3 )   271-278 - 278   1997

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    DOI: 10.1016/S0165-0114(96)00008-5

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  • Neural Net Solution to Fuzzy Linear Programming

    Buckley, J. J.*(Univ. of Alabama at Birmingham・準教授), Hayashi, Y.(教授)

    IEEEProc, of Fifth IEEE Int. Conf. On Fuzzy Systems(FUZZ-IEEE'96)   1563-1566 - 1566   1996.9

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  • Medical Intelligence Service Provider Based on Interconnected, Cooperating Medical Decision Support Systems.

    Adlassnig, K.-P., and Hayashi Y.

    In Eysenbach , G. (Ed.) Improving Public Health through the Internet. Abstracts Book of the 11th World Congress on Internet in Medicine (MedNet 2006) JMIR Publications, Toront   15   1996

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  • Implementation of Fuzzy Max-Min Neural Controller

    Hayashi, Y.(教授), Buckley, J. J.*(Univ. of Alabama at Birmingham・準教授)

    IEEEProc. of 1995 IEEE Int. Conf. on Neural Networks(ICNN'95)   Vol.6   3113-3117 - 3117   1995.11

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  • Solving Fuzzy Equations Using Neural Nets

    Buckley, J. J.*(Univ. of Alabama at Birmingham・準教授), Eslami, E.*(Kerman Univ.), Hayashi, Y.(教授)

    IEEEProc. of the Third Int. Symposium on Uncertainty Modeling and Analysis and Annual Conf. of the North American Fuzzy Information Society(ISUMA-NAFIPS'95)   302-304   1995.9

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  • Neural Nets for Fuzzy Systems

    Buckley, J. J.*(Univ. of Alabama at Birmingham・準教授), Hayashi, Y.(教授)

    ElsevierFuzzy Sets and Systems   Vol.71 No.3 ( 3 )   265-276 - 276   1995.5

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    DOI: 10.1016/0165-0114(94)00282-C

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  • Checking Completeness and Consistency in Natural Network Knowledge Base

    Yoichi Hayashi(教授), Krishnamraju, P.V, Reilly, K.D.(教授)

    Ablex pub.Journal of Artificial Neural Networks   Vol.2 No.1&2   107-118   1995

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  • Development of Water Chemistry Diagnostic System for BWRs Using Fuzzy Reasoning

    Igarashi, H.*(Hitachi Engineering Co.Ltd.), Hayashi, Y.(教授), Sakata, M.*(Hitachi Engineering Co.Ltd.), Koya, H.*(Hitachi Engineering Co.Ltd.), Fukumoto, T.*(Hitachi Engineering Co.Ltd.)

    Atomic Energy Society of Japan, Journal of Nuclear Science and Technology   Vol.31 No.10 ( 10 )   1023-1037 - 1037   1994.10

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    DOI: 10.1080/18811248.1994.9735255

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  • Addictive Hybrid Networks for Fuzzy Logic

    Keller, J. M.*(Univ. of Missouri-Columbia・教授), Hayashi, Y.(教授), Chen, Z.*(Univ.of Missouri-Columbia・学生)

    ElsevierFuzzy Sets and Systems   Vol.66 No.3 ( 3 )   307-313 - 313   1994.9

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    DOI: 10.1016/0165-0114(94)90098-1

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  • Fuzzy Genitic Algorithm and Applications

    Buckley, J. J.*(Univ. of Alabama at Birmingham・準教授), Hayashi, Y.(教授)

    ElsevierFuzzy Sets and Systems   Vol.61 No.2 ( 2 )   129-136 - 136   1994.1

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    DOI: 10.1016/0165-0114(94)90228-3

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  • Hybrid Neural Nets Can be Fuzzy Controllers and Fuzzy Expert Systems

    Buckley, J. J.*(Univ. of Alabama at Birmingham・準教授), Hayashi, Y.(教授)

    ElsevierFuzzy Sets and Systems   Vol.60 No.2 ( 2 )   135-142 - 142   1993.12

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    DOI: 10.1016/0165-0114(93)90342-F

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  • Direct Fuzzification of Neural Networks

    Buckley, J. J.*(Univ. of Alabama at Birmingham・準教授), Hayashi, Y.(教授)

    Proc. of the First Asian Fuzzy Systems Symposium   560-567   1993.11

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  • Are Regular Fuzzy Neural Nets Universal Approximators ?

    Buckley, J. J.*(Univ. of Alabama at Birmingham・準教授), Hayashi, Y.(教授)

    IEEEProc. of Inter. Joint Conf. on Neural Networks(IJCNN'93)   Vol.1   721-724 - 724   1993.10

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  • Fuzzy Genetic Algorithms for Optimization

    Buckley, J. J.*(Univ. of Alabama at Birmingham・準教授), Hayashi, Y.(教授)

    IEEEProc. of Inter. Joint Conf. on Neural Networks(IJCNN'93)   Vol.1   725-728 - 728   1993.10

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  • Fuzzy Input-Output Controllers are Universal Approximators

    Buckley, J. J.*(Univ. of Alabama at Birmingham・準教授), Hayashi, Y(教授)

    ElsevierFuzzy Sets and Systems   Vol.58 No.3 ( 3 )   273-278 - 278   1993.9

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    DOI: 10.1016/0165-0114(93)90503-A

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  • Fuzzy Controller and Fuzzy Expert Systems as Hybrid Neural Nets

    Buckley, J. J.*(Univ. of Alabama at Birmingham・準教授), Hayashi, Y(教授)

    IFSAProc. of the fifth IFSA'93 World Congress   Vol.1   70-72   1993.7

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  • Fuzzy I/O Controller as Universal Approximators

    Buckley, J. J.*(Univ. of Alabama at Birmingham・準教授), Hayashi, Y(教授)

    INNSProc. of World Congress on Neural Networks(WCNN'93)   Vol.1   92-96 - 96   1993.7

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  • Fuzzy Neural Controller with Additive Hybrid Operators

    Hayashi, Y(教授), Keller, J. M.*(Univ. of Missouri・教授)

    Proc. of the fifth IFSA'93 World Congress   Vol.11   1118-1120   1993.7

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  • Comparison of Network-Based Inference Mechanisms for Fuzzy Logic

    Hayashi, Y(教授), Keller, J. M.*(Univ.of Missouri・教授)

    IEEEProc. Of the Second Inter. Symposium on Uncertainty Modeling & Analysis(ISUMA'93)   334-348   1993.4

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  • Interpretation of Nodes in Networks for Fuzzy Logic

    Keller, J. M.*(Univ. of Missouri・教授), Hayashi, Y(教授), Chen, Z, *(Univ. of Missouri・学生)

    IEEEProc. of the Second Inter. Conf. on Fuzzy Systems(FUZZ-IEEE'93)   1203-1207 - 1207   1993.3

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  • Fuzzy Simulation Based on Fuzzy Chaos

    Buckley, J. J. *(Univ. of Alabama at Birmingham・準教授), Hayashi, Y(教授)

    IEEEProc. of the Second Inter. Conf. on Fuzzy Systems(FUZZ-IEEE'93)   1039-1043 - 1043   1993.3

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  • Hybrid Systems Approches with Ascertsinment Learning in Neural Networks

    Reilly, D. K.*(Univ. of Alabama at Birmingham・教授), Hayashi, Y(教授), Villa, M.F.*(Univ. of Alabama at Birmingham・学生)

    Springer-VerlagProc. of Inter. Simulation Technology Conf. (SimTec'92)   447-454   1992.11

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  • Validation of Neural Network Knowledge Base

    Hayashi, Y(教授), Krishnamraju, P. V.*(Univ. of Alabama at Birmingham・学生)

    IEEEProc. of Inter. Joint Conf. on Neural Networks(IJCNN'92)   VI. 111   495-500   1992.11

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  • Hybrid Expert System with Fuzzy If-Then Rule Generation

    Hayashi, Y(教授), Krishnamraju, P. V.*(Univ. of Alabama at Birmingham・学生)

    IEEEProc. of Inter. Joint Cont. on Neural Networks(IJCNN'92)   Vol.111   501-506   1992.11

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  • Direct Fuzzification of Neural Networks and Fuzzifdied Delta Rule

    Hayashi, Y(教授), Buckley, J. J.*(Univ. of Alabama at Birmingham・教授), Czogala, E.*(Technical Univ. of Silesia・教授)

    FLSIProc. of 2nd Inter. Conf. On Fuzzy Logic and Neural Networks(IIUZKA'92)   73-76 - 76   1992.7

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  • Approximation between Fuzzy Expert Systems and Neural Networks

    Hayashi, Y (教授), Buckley, J. J.*(Univ. of Alabama at Birmingham・教授), Czogala, E.*(Technical Univ. of Silesia・教授)

    FLSIProc. of 2nd Interl. Conf. On Fuzzy Logic and Neural Networks(IIZUKA'92)   135-139   1992.7

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  • Fuzzy Neural Network with Fuzzy Signals and Weights

    Hayashi, Y(教授), Buckley, J. J.*(Univ. of Alabama at Birmingham・教授), Czogala, E.*(Technical Univ. of Silesia・教授)

    IEEEProc. of Inter. Joint. Conf. on Neural Networks(IJCNN'92)   Vol.11 ( 4 )   696-701 - 537   1992.6

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    DOI: 10.1002/int.4550080405

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  • Fuzzy Neural Network with Fuzzy Signals and Weights

    Hayashi, Y, Buckley, J. J, niv. of, Alabama at Birmingham, 教授, Czogala, E, Technical, Univ. of Silesi

    IEEEProc. of Inter. Joint. Conf. on Neural Networks(IJCNN'92)   Vol.11   696-701   1992.6

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  • On the Equivalence of Neural Networks and Fuzzy Expert Systems

    Hayashi, Y(教授), Buckley, J. J.*(Univ. of Alabama at Birmingham・教授), Czogala, E.*(Technical Univ. of Silesia・教授)

    IEEEProc. of Inter. Joint Conf. on Neural Networks(IJCNN'92)   Vol.11   691-695 - 695   1992.6

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  • Fuzzy Expert Systems Versus Neural Networks

    Hayashi, Y(教授), Buckley, J. J.*(Univ. of Alabama at Birmingham・教授), Czogala, E*(Technical Univ. of Silesia・教授)

    IEEEProc. Of Inter. Joint Conf. On Neural Networks(IJCNN'92)   Vol.11   720-726   1992.6

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  • A Neural Expert System Using Fuzzy Teaching Input

    Y HAYASHI

    IEEEProc. Of IEEE Inter. Conf. On Fuzzy Systems(FUZZ-IEEE'92)   485-491 - 491   1992.3

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  • A Structual Analysis of Database Management System Technology with some Japanese Experience

    Yoichi Hayashi(教授), Hideto Ikeda (教授)

    North-HollandInformation & Management   vol.22 No.6 ( 6 )   347-362 - 362   1992

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    DOI: 10.1016/0378-7206(92)90030-J

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  • An Architecture for Hybrid Expert Systems

    Hayashi, Y(教授), Krishnamraju, P. V.(Univ. of Alabama at Birmingham・学生), Reilly, K. D.*(Univ. of Alabama at Birmingham・教授)

    IEEEProc. Of the Inter. Joint Conf. On Neural Networks(IJCNN'91-Singapore)   2773-2778 - 900   1991.11

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  • Water Quality Diagnosis System for Evaluation of Reactor Water Impurities

    Fukumoto, T*(Hitachi Engineering Co.Ltd.), Hayashi, Y(教授), Oota, N*(Hitachi Engineering Co. Ltd.), Igarashi, H*(Hitachi Engineering Co. Ltd.)

    Tras. of American Nuclear Society   447-449   1991.11

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  • A Neural Expert System with Confidence Measurements, in Uncertainty in Knowledge Bases

    Gallant, S. I, s, n, 教授) , Hayashi, 教授

    Springer-VerlagLecture Notes in Computer Science   562-567   1991.7

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  • A Neural Expert System with Confidence Measurements, in Uncertainty in Knowledge Bases

    Gallant, S. I.*(Northeastern Univ.・教授), Hayashi, Y(教授)

    Springer-VerlagLecture Notes in Computer Science   521   562-567 - 567   1991.7

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  • Neural and Conventional Expert Systems ; Competitive and Cooperative Schemes

    Krishanamraju.P.V.*(Univ.of Alabama at Birmingham・学生), Reilly K.D.(Univ.of Alabama at Birmingham・教授), Hayashi, Y(教授)

    Proc. of Second Workshop on Neural Networks(WNNAIND'91)   649-656   1991.2

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  • A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules and Its Application to Medical Diagnosis

    Yoichi Hayashi(教授)

    Morgan KufmannAdvances in Neural Information Processing Systems   vol.3   578-584 - 584   1991

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  • Handling Uncertainty and Ambiguity in Conventional and Neural Expert Systems

    Yoichi Hayashi(教授), Krishnamraju, P.V., Reilly, K.P.(教授)

    Fuzzy Engineering toward Human Friendly Systems   Vol.1   598-608   1991

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  • Fuzzy Neural expert System with Automated Extraction of Fuzzy If-Then Rules from a Trained Neural Network

    Hayashi, Y(教授), Imura, A*(Ibaraki Univ.・学生)

    IEEEProc. Of the First Inter. Symposium on Uncertainty Modeling and Analysis(IZUMA'90)   489-494   1990.12

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  • Novel and High-Speed Algorithm for Solving the Inverse Problem of Fuzzy Correspondence

    Hayashi, Y, Imura, A(Ibaraki Univ.・学生)

    IEEEProc. Of the First Inter. Symposium on Uncertainty Modeling and Analysis(IZUMA'90)   308-311   1990.12

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  • Fuzzy Neural export System for Dignosing Hepatobiliary Disorders

    Yoshida, K*(Keio Univ.・教授), Hayashi, Y(教授), Imura, A*( Ibaraki Univ.・学生), Shimada, N*(Keio Univ.)

    FLSIProc. Of the Inter. Conf. On Fuzzy Logic & Neural Networks(IIZUKA'90)   539-543   1990.8

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  • Multi-layer Versus Single-Layer Neural Network and an Application to Reading Hand-Stamped Characters

    Hayashi, Y(教授), Sakata, M.*(Hitachi Engineering Co., Ltd.), Gallant, S.I.(Northeastern Univ.準教授)

    Proc. Of the Inter. Neural NetworkConf.(INN'90)   781-784 - 784   1990.7

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  • Fuzzy Neural Expert System and Its Application to Medical Dignosis

    Hayashi, Y(教授), Imura, A*(Ibaraki Univ, ・学生), Yoshida, K*(Keio Univ.・助教授)

    NJIT PressProc. of 8th Int. Congress of Cybernetics and Systems   Vol.1   54-61   1990.6

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  • Automated Extraction of Fuzzy IF-THEN Rules Using Neural Networks

    HAYASHI Y.

    T.IEE Japan   vol.110-c No.3 ( 3 )   198-206 - 206   1990

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    DOI: 10.1541/ieejeiss1987.110.3_198

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  • Recognition Capability of Alphanumeric Characters by Distributed Method

    T.IEE Japan   vol.110-c NO.3   156-165   1990

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  • Fuzzy Neural expert System for Diagnosing Hepatobiliary Disorders

    Yoshida, K.*, Hayashi, Y(教授), Imura, A*(Ibaraki Univ.学生), Shimada, N.*(Keio Univ.)

    FLSI Proc. Of the Inter. Conf. On Fuzzy Logic & Neural Networks(IIZUKA'90)   539-543   1990

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  • A Multiprocessing Model of Natural Language Processing

    Dey, P.P.(教授), Yoichi Hayashi(教授), Battistella, E.L.(助教授)

    Walter de Gruyter & CoTheoretical Linguistics   vol.16 No.1 ( 1 )   11-23 - 23   1990

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  • Reasoning Methods Using Fuzzy Production Rule with Linguistic Relative Importance in an Antecedent

    IEET, IEE Japan   Vol.109-C, No.9 ( 9 )   661-668 - 668   1989.9

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  • A Parallel Algorithm for Multi-Dimensional Fuzzy Reasoning

    IEET. IEE Japan   Vol.109-C, No,5 ( 5 )   342-352 - 352   1989.5

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  • A Connectionist Expert System for Diagnosing Hepatobiliary Disorders

    Yoshida, K., Yoichi Hayashi(教授), Imura, A.

    North-HollandMEDINFO89   vol.1   116-120   1989

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  • An Efficient Algorithm for Multi-Dimesional Fuzzy Reasoning and Its Application to Fault Diagnosis

    T.IEE Japan   vol.109-c No.9   653-660   1989

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  • Alphanumeric Character Recognition Using A Connectionist Model with The Pocket Algorithm

    Yoichi Hayashi(教授), Sakata, M, Nakao, T, Ohhashi, S

    Learned Information Ltd.Inter.J.of Neural Networks Research & Applications   vol.1No.3   175-186   1989

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  • Medical Database System with Fuzzy Reasoning

    Yoshida, K., Yoichi Hayashi(教授), Tazaki.E, Ohtsubo, Y.

    North-HollandMEDINFO89   vol.1   165-169   1989

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  • A Combination of Strategies for Parsing Grammatical Agreement in Hindi

    Dey, P.P.(教授), Yoichi Hayashi(教授), Battistella, E.L.(助教授)

    World Scientific Pub.International Journal of Pattern Recognition and Artificial Intelligence   vol.3No.2   261-273   1989

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    DOI: 10.1142/S021800148900019X

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  • Medical Diagnosis Using Simplified Muti-dimensional Fuzzy Reasoning

    Hayashi, Y(教授), Tazaki, E*(Omron Tateishi Electronics Co.), Yoshida, K*(Keio Univ.・助教授), Dey, P*(Univ. of Alabama at Birmingham・助教授)

    IEEEProf, Of IEEE 1988 Inter, Conf, On Systems, Men and Cybernetics   58-62   1988.8

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  • Effecient Method for Multi-dimensional Fuzzy Reasoning and Its Application to Fault Diagnosis

    Hayashi, Y(教授), Nakai, M*(Ibaraki Univ.・学生)

    IEEEProf. Of Inter, Workshop on Artificial Intelligence for Industrial Applications   27-32   1988.5

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  • A Flexible Interactive Control Structure for Rule-Based Systems

    Srinivasan, S.*(MTB Computer Consulting Corp.), Dey, P*(Univ. of Alabama at Birmingham助教授), Hayashi, Y(教授)

    ACMProc. Of 1988 ACM Computer Science Conference   447-453 - 453   1988.2

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Association for Computing Machinery, Inc  

    DOI: 10.1145/322609.322791

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  • A Parallel Algorithm for Multi-dimensional Fuzzy-Reasoning--Toward A Parallel Fuzzy Production System

    Hayashi, Y(教授), Nakai, M*(Ibaraki Univ.学生), Dey, P*(Univ. of Alabama at Birmingham助教授)

    ACMProc.of 1988 ACM Computer Science Conference   731-733 - 733   1988.2

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    DOI: 10.1145/322609.323188

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  • Development of Automated Health Testing and Services System via Fuzzy Reasoning

    Hayashi, Y(教授), Tazaki, E*(Science Univ. of Tokyo・教授), Yoshida, K*(Keio Univ. ・助教授)

    IEEEProc. Of the 1986 IEEE Inter. Conf. On Systems, Man and Cybernetics   342-345   1986.10

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  • Operational Technology Problems on Practical Database Systems in Japan and Their Structual Analysis

    IEEEProProc. Of IEEE 9th Inter. Computer Software & Application Conference(COMPSAC85)   360-367   1985.10

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  • Lexicographically Optimal Dynamic Flow Problems and Its Application to Models for Building Evacuation

    HAYASHI Yoichi, NISHIDA Naonori

    SICET. SICE   Vol.20 No.7 ( 7 )   606-613 - 613   1984.7

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    Many important problems can be represented as dynamic network flow problems. The dynamic networks are used for the analysis of transportation systems, material handling systems, network models for building evacuation, etc.<br>Minieka has presented an algorithm based on Ford and Fulkerson maximal dynamic flow algorithm that constructs a maximal dynamic flow with a latest departure and an earliest arrival schedule.<br>Furthermore, the problem of finding a dynamic flow with desired distribution of departures and arrivals was considered by the present author previously. The dynamic network has a single source and a single sink, and further, holdover nodes.<br>In the present paper, we extend the problems stated above to the case for the dynamic networks with multiple sources and sinks, which include holdover nodes of different properties. This problem is applied to the network model for building evacuation. Since the evacuation of a building involves the flow of people through well defined passageways, it is natural to consider the evacuation problem to be dynamic network flow problem.<br>We consider the problem of finding an evacuation route which realizes the desired pattern of evacuees through the exits. The properties of the dynamic network are also considered by using the classification of holdover nodes. Illustraive examples for the evacuation of a three floor building are solved to demonstrate the effectiveness of the proposed methods.

    DOI: 10.9746/sicetr1965.20.606

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    Other Link: https://jlc.jst.go.jp/DN/JALC/00202215066?from=CiNii

  • A Decentralized Multicommodity Network Flow Problem with Desired Distribution of Departures and Arrivals

    Yoichi Hayashi, Hiromi Kanaoka, N. Naonori

    IEEThe Ttans. of the Institute of Electrical Engineers of Japan(T. IEE Japan)   Vol.103-C, No.3 ( 3 )   60-66 - 66   1983.3

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    DOI: 10.11526/ieejeiss1972.103.60

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  • A Dynamic Flow Probrem with Desired Distribution of Departures and Arrivals

    SICETrans. of the Society of Instrument and Control Engineer(T.SICE)   Vol.19 No.2 ( 2 )   110-117 - 117   1983.2

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  • Generalized Lexicographically Optimal Flows in Networks with Multiple Sources and Sinks

    Yoichi Hayashi(教授), N. Nishida

    Taylor & FrancisInternational Journal of Systems Science   vol.14 No.9 ( 9 )   1013-1028 - 1028   1983

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    DOI: 10.1080/00207728308926511

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  • Optimal Synthesis of Network with weighted Constrains for Multiple Sources and Sinks

    HAYASHI Yoichi, NISHIDA Naonori, TAZAKI Eiichiro

    SICETrans. of the Society of Instrument and Control Engineer(T.SICE)   vol.18 No.5 ( 5 )   450-457 - 457   1982.5

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    Various methods for the optimal synthesis of systems have been developed, for example, the optimal synthesis of chemical processing system. However, published works for the synthesis of optimal network flow systems are very scarce.<br>On the other hand, the importance of a matroid theory has been increasingly recognized recently as an effective approach to the combinatorial optimization problem.<br>In this paper, a network system was chosen as the subject to the study. An optimal flow problem is first formulated. The problem is to find a maximum flow having as proportional to the given weights distribution of flows as possible. The value of weights to be given will be assigned so that the desired distribution of flows with respect to multiple sources and sinks are obtained. Secondly, it has been indicated that the optimal synthesis problem can be solved by utilizing the weight vectors as a means of the structure parameters.<br>A synthesis method has been proposed with the two level approach which determines the optimal values of the evaluation function by varying the distribution of flows with respect to multiple sources and sinks in a network.<br>A characteristic of the proposed method is that difficulties on the numerical computation for a large scale problem can be avoided.<br>In order to prove the validity of the proposed methods, illustrative examples are solved to see how they work.

    DOI: 10.9746/sicetr1965.18.450

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    Other Link: https://jlc.jst.go.jp/DN/JALC/00192057387?from=CiNii

  • Optimal Synthesis of Network with weighted Constrains and Lower Bounds of the Flow Quantity for Multiple Sources and Sinks

    ISCIESystem and Control   Vol.26 No.10 ( 10 )   661-670 - 670   1982

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Books

  • Black Box Nature of Deep Learning for: Digital Pathology Beyond Quantitative to Qualitative Algorithmic Performances Reviewed

    Yoichi Hayashi( Role: Sole author全て)

    Springer  2020.6 

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    Total pages:7   Responsible for pages:95-101   Language:English  

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  • Foundation of Integration of Neuro Fuzzy

    ( Role: Joint author)

    Baifukan Neuro & Fuzzy S.Amari & T.Mukaidono  1994.5 

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    Responsible for pages:205-239   Language:Japanese   Book type:Scholarly book

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  • "Fuzzy Neural Expert System with Automated Extraction of Fuzzy If- Then Rules from a Trained Neural Network, Analysis and Management of Uncertainty:Theory and Applicattions no."

    Yoichi Hayashi(教授)( Role: Sole author)

    North-Holland  1992 

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    Responsible for pages:171-181   Language:English   Book type:Scholarly book

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  • Fuzzy Intial Value Problem for N-th Order Linear Differential Equations

    James J. Buckeley, Yoichi Hayashi( Role: Joint author)

    IFSA  1999 

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    Responsible for pages:471-475   Language:English  

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  • "Neural Net Solutions to Systems of Linear Equations, Uncertainty Analysis in Engineering and the Sciences"

    James J.Buckley, Thomas Feuring, Yoichi Hayashi( Role: Joint author)

    Kluwer Academic Publishers  1998.2 

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    Responsible for pages:213-232   Language:English   Book type:Scholarly book

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  • Neural Nets Can be Universal Approximators for Fuzzy Functions Reviewed

    JamesJ.Buckley*(助教授), YoichiHayashi(教授)( Role: Joint author)

    1997.6 

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    Responsible for pages:2347-2350   Language:English  

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  • Fuzzy Reasoning

    ( Role: Joint author)

    OhmushaNeuro/Fuzzy/AI Handbook  1994.5 

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    Responsible for pages:260-269   Language:Japanese   Book type:Scholarly book

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MISC

Awards

  • World's Top 2% Scientists in Artificial Intelligence for 2021-2023 (Stanford University)

    2023.10   Stanford University  

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  • 栢森情報科学振興財団研究助成受賞

    1999.7  

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  • Best 7 Papers Memorial Prize, Fuzzy Sets and Systems, Vol.100 Memorial Supplement (which was carefully selected based on citation index and the opinions of The Editorial Board of Fuzzy Sets and Sytems.

    1999.4  

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  • Best papers from the Fuzzy Sets and Systems Vol. 100 memorial issue

    1999.4   International Fuzzy Systems Society   On the Equivalence of Neural Nets and Fuzzy Expert Systems

    James J. Buckley, Yoichi Hayashi, Ernest Czogala

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  • 倉田記念日立記念科学技術財団研究助成受賞

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    Country/Region:Japan

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  • 電気通信普及財団研究助成受賞(3回)

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    Country/Region:Japan

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  • 神奈川科学技術アカデミー研究助成受賞

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    Country/Region:Japan

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  • 稲森財団研究助成受賞

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    Country/Region:Japan

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  • 実吉奨学会研究助成受賞

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    Country/Region:Japan

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  • 情報科学国際交流財団研究助成受賞(2回)

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  • セコム科学技術振興財団研究助成受賞

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Teaching Experience

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Social Activities

  • Associate Editor: Applied Artificial Intelligence (IF: 2.9)

    Role(s): Chief editor

    Taylor & Francis  Applied Artificial Intelligence  2024.4

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    Audience: Graduate students, Researchesrs, Scientific, Company

    Type:Promotional material

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  • Informatics in Medicine Unlocked, Associate Editor

    Role(s): Chief editor

    Elsevier  2019.10

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  • Electronics (MDPI), Editor-in-Chief (AI section)

    Role(s): Chief editor

    MDPI  2019.4

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  • Toward to transparency of deep learning in medical imaging: Beyond quantitative to qualitative AI

    Role(s): Appearance

    Cross Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE 2019)  Cross Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE 2019)  2018.8

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    Type:Lecture

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  • 情報科学の未来を切り開く人工知能技術

    Role(s): Appearance

    神奈川県立港北高校  2017.11

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    Audience: High school students, Teachers

    Type:Visiting lecture

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  • 人工知能の新時代:新世代医療、ディープラーニングの透明化、完全自動運転への展開

    Role(s): Appearance

    岩手県医療福祉コンソーシアム・記念公園  岩手県立大学ソフトエア学部  2017.7

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    Audience: Researchesrs, General, Company

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  • Big Data and Cognitive Computing, Editorial Board Member

    Role(s): Editer

    MDPI  2017.4

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    Type:Promotional material

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  • Machine Learning and Knowledge Extraction, Editorial Board Member

    Role(s): Editer

    MDPI  2017.4

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  • Neural Data Analysis: Ensemble Neural Network Rule Extraction and Its Theoretical and Historical Backgrounds

    Role(s): Appearance

    The 12th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2013)  The 12th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2013) (Keynote Speech)  Zakopane, Poland  2013.6

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  • "Neural Networks Journal, Action editor"

    2002.2 - 2009.12

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  • Associate Editor of Artificial Intelligence in Medicine

    2000.10 - 2017.1

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  • "IEEE Trans. Fuzzy Systems, Associate editor"

    1999.9 - 2001.12

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Media Coverage

  • 人工知能の歴史、研究・教育、未来 Internet

    ラジオNIKKEI  AIのすすめ  ラジオNIKKEI 本社スタジオ  2020.3

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  • 人工知能の歴史、研究・教育、未来 Internet

    ラジオNIKKEI  AIのすすめ  ラジオNIKKEI 本社スタジオ  2020.3

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  • Informatics in Medicine Unlocked (Senior Editor) Newspaper, magazine

    Elsevier  2019.10

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  • Big Data and Cognitive Computing, Editorial Board Member Promotional material

    MDPI  2017.4

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  • Machine Learning and Knowledge Extraction, Editorial Board Member Newspaper, magazine

    MDPI  2017.4

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Academic Activities

  • Decision Support System (Elsevier) Reviewer IF: 5.795 International contribution

    Role(s): Peer review

    Elsevier  2020.4

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  • Journal of Industrial Information Integration (Elsevier) Reviewer IF: 10.06 International contribution

    Role(s): Peer review

    Elsevier  2020.4

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  • EbioMedicine (Elsevier) Reviewer IF: 5.736 International contribution

    Role(s): Peer review

    Elsevier  2020.4

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  • Swiss National Science Foundation (SNSF) Reviewer International contribution

    Role(s): Review, evaluation

    2020.4 - 2021.3

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    Type:Scientific advice/Review 

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  • IEEE Transaction on Cybernetics (IF:11.2) International contribution

    Role(s): Peer review

    2020.3

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  • National Sciences and Engineering Research Council of Canada, Reviewer International contribution

    Role(s): Review, evaluation

    2020 - 2021.3

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  • European Research Council (ERC), Reviewer International contribution

    Role(s): Review, evaluation

    ( Brussels, Belgium ) 2018.4 - 2019.3

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  • Artificial Intelligence (Elsevier) IF: 9.088, Reviewer International contribution

    Role(s): Peer review

    2018.4

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  • Aging (Elsevier) IF: 5.682, Reviewer International contribution

    Role(s): Peer review

    Elsevier  2018

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  • Applied Soft Computing (Elsevier) IF: 7.71, Reviewer. International contribution

    Role(s): Peer review

    2018

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  • Diabetes Care IF: 19.11, Reviewer. International contribution

    Role(s): Peer review

    米国糖尿病学会(ADA)  2018

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  • Information Sciences (Elsevier) IF: 6.795, Reviewer. International contribution

    Role(s): Peer review

    Elsevier  2017.4

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  • Expert Systems with Application (Elsevier) IF:6.954, Reviewer. International contribution

    Role(s): Peer review

    Elsevier  2016

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  • Knowledge-Based Systems (Elsevier) IF: 8.2, Reviewer. International contribution

    Role(s): Peer review

    2016

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  • Neurocomputing (Elsevier) IF:5.719, Reviewer. International contribution

    Role(s): Peer review

    Elsevier  2012.4

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  • European Journal of Operational Research (Elsevier) IF: 5.334 International contribution

    Role(s): Peer review

    Elsevier  2012.4

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  • Artificial Intelligence in Medicine (Elsevier) IF:6.99, Reviewer. International contribution

    Role(s): Planning, management, etc., Review, evaluation, Planning/Implementing academic research, Peer review

    Elsevier  2001.4

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    Type:Scientific advice/Review 

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  • Neural Networks (Elsevier) IF: 8.05, Action Editor. International contribution

    Role(s): Planning, management, etc., Review, evaluation, Planning/Implementing academic research, Peer review

    Elsevier  2001.4 - 2008.3

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