- Associate Editor: IEEE（Institutes of Electronics and Electronics Engineers）Transactions on Fuzzy System 1998-2000.
- Action Editor: Neural Networks（International Neural Network Society）, 2003-2010.
- Associate Editor: Artificial Intelligence in Medicine, 2000-2017.
- Associate Editor: Journal of Advanced Computational Intelligence, 1997-2004.
- Editorial Board Member: Big Data and Cognitive Computing, 2017-present
- Guest Editor: Applied Computational Intelligence and Soft Computing, 2017.
- Editorial Board Member: Machine Learning and Knowledge Extraction, 2017-Present.
- Review Board: Applied Intelligence (Springer), 2018—present.
- Guest Editor: Frontiers in Robotics and AI (Frontiers media), 2018.
- Guest Editor: BMC Medical Informatics and Decision Making, 2019-present.
- Advisory Board Member: Current Pharmaceutical Biotechnology, 2018
- Advisory Board Member: Sci. 2018-present.
- Editor-in-Chief (AI section): Electronics, 2019-present.
- Associate Editor: Informatics in Medicine Unlocked: 2019-present.
・European Research Council Executive Agency: ERC Starting Grant 2018
・IEEE Transactions on Fuzzy Systems
・IEEE Transactions on Neural Networks
・IEEE Transactions on Systems, Man and Cybernetics Part B
・IEEE Transactions on Systems, Man and Cybernetics- Part C: Review & Applications
・IEEE Transactions on Data and Knowledge Engineering
・Neural Networks
*Knowledge-Based Systems
*Neurocomputing
*Neural Networks
*Neural Processing Letters
*Artificial Intelligence in Medicine
*Applied Intelligence
*New Generation Computing
*Information Sciences
*Electronics Letters
*Decision Support System
*European Journal of Operational Research
*Expert Systems with Applications
*International Journal of Neural Systems
*Journal of Banking and Finance
*Soft Computing
*International Journal of Information Technology & Decision Making
*International Journal on Artificial Intelligence Tools
*Journal of Applied Mathematics
*Journal of Information Systems
*Journal of Advanced Computational Intelligence
*IEEE Access
*Neural Computation
*Artificial Intelligence
*Journal of AI and Data Mining
*Computational Intelligence
*Evidence-Based Complementary and Alternative Medicine
*Recent Patents on Computer Science
*Sci
*Aging
*Complexity
*International Journal of Pattern Recognition and Artificial Intelligence
*Scientific Reports
*Translational Oncology
1. Yoichi Hayashi, Neural Data Analysis: Ensemble Neural Network Rule Extraction and Its Theoretical and Historical Backgrounds (Keynote Speech) , The 12th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2013), June 9-13, Zakopane, Poland 2013 (LNAI Vol. 7894 Part 1.(Invited Paper), pp.1-19)
2. Yoichi Hayashi, Using Three-MLP Ensemble Re-RX algorithm and Recent Classifiers for Credit-Risk Evaluation (Keynote Speech), Meiji-Czestochowa Workshop on Big Data Engineering, October 7-8, Czestochowa University of Technology, Poland
3. Yoichi Hayashi, Toward to transparency of deep learning in medical imaging: Beyond quantitative to qualitative AI (Opening Keynote Speech), Cross Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE 2019), August 26-29, 2019, Canterbury, UK.
Yoichi Hayashi, Detection of lower albuminuria levels and early development of diabetic kidney disease using an artificial intelligence-based rule extraction approach, Diagnostics, 9(4), 133; https://doi.org/10.3390/diagnostics9040133 (2019).
Yoichi Hayashi, Toward to transparency of deep learning in radiological imaging: Beyond quantitative to qualitative AI, Journal of Medical Artificial Intelligence. 2: 19. http://jmai.amegroups.com/article/view/5144/html. doi: 10.21037/jmai.2019.09.06 (2019).
Yoichi Hayashi, Kei Nakajima, Keisuke Nakajima, Artificial intelligence-based rule extraction approach to derive the upper limit of hemoglobin during anemia treatment in patients with predialysis chronic kidney disease, Informatics in Medicine Unlocked. Acceptedgm. (2019)
Yoichi Hayashi, The right direction to be needed to develop a white-box deep learning in radiology, pathology, and ophthalmology: A short review, Frontiers in Robotics and AI. 16 April 2019. doi: 10.3389/frobt.2019.00024 (2019)
Yoichi Hayashi, Use of deep belief network for high-level abstraction small datasets using artificial intelligence with rule extraction, Neural Computation 30 (12), 3309-3326 (2018). doi.org/10.1162/neco_a_01139.
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, The non-invasive prediction prediction of non-alcoholic steatohepatitis in Japanese patients with morbid obesity by artificial intelligence using rule extraction technology, World Journal of Hepatology 10(12), 934-943 (2018). doi:10.4254/wjh.v10.i12.934
Yoichi Hayashi, Tatsuhiro Oisi, High accuracy-priority rule extraction for reconciling accuracy an interpretability in credit scoring, New Generation Computing 36(4), 393-418 (2018). doi:10.1007/s00354-018-0043-5
Guido Bologna, Yoichi Hayashi, A RULE EXTRACTION STUDY FROM SVM ON SENTIMENT ANALYSIS, Big Data and Cognitive Computing, 2018, 2, 6; doi:10.3390/bdcc2010006. (2018)
Guido Bologna, Yoichi Hayashi, A comparison study on rule extraction from neural network ensembles, Boosted shallow trees and SVMs, Applied Computional Intelligence and Soft Computing, Vol. 2018, Article ID 4084850, 20 pages https://doi.org/10.1155/2018/4084850. (2018)
Yoichi Hayashi and Hideaki Iiduka, Optimality and Convergence for Convex Ensemble Learning with Sparsity and Diversity based on Fixed Point Optimization, Neurocomputing 273 (2018) 367-372.
Somosmita Mitra, Subhashis Banerjee, Yoichi Hayashi, Volumetric brain tumor detection from MRI using visual saliency, PLOS ONE 12(11), e0187209 (2017).
Guido Bologna and Yoichi Hayashi, Characterization of Symbolic Rules Embedded in Deep DIMLP Networks: a Challenge to Transparency of Deep Learning, Journal of Artificial Intelligence and Soft Computing Research, Vol. 7, No. 4, pp.265-286 (2017).
Yoichi Hayashi, Synergy effects between the grafting and the subdivision in the Re-RX with J48graft for the diagnosis of thyroid disease, Knowledge-Based Systems, Vol. 131, pp.170-182 (2017).
Marcin Zalasiński, Krzysztof Cpałka, Yoichi Hayashi, A method for genetic selection of the most characteristic descriptors of the dynamic signature, Proceedings of the 16th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2017), Zakopane, Poland, June 10-14, 2017, Lecture Notes in Computer Science, Vol. 10245, pp. 747-760 (2017).
Krystian Łapa, Krzysztof Cpałka, Yoichi Hayashi, Hybrid initialization in the process of evolutionary learning, Proceedings of the 16th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2017), Zakopane, Poland, June 10-14, 2017, Lecture Notes in Computer Science, Vol. 10245, pp.380-393 (2017)pp. 218-231 (2016).
Yoichi Hayashi and Kazuhiro Fukunaga, 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, Informatics in Medicine Unlocked (IMU), Vol. 5, pp.26-38 (2016).
Yoichi Hayashi, Application of Rule Extraction Algorithm Family Based on the Re-RX Algorithm to Financial Credit Risk Assessment from Pareto Optimal Perspective, Operations Research Perspectives, Vol. 3, pp. 32-42 (2016).
Yoichi Hayashi, Rudy Setiono and Arnulfo Azcarraga, Neural Network Training and Rule Extraction with Augmented Discretized Input, Neurocomputing, Vol. 207, pp.610-622 (2016).
Yoichi Hayashi and Shonosuke Yukita, Rule Extraction Using Recursive-Rule Extraction Algorithm with J48graft with Sampling Selection Techniques for the Diagnosis of Type 2 Diabetes Mellitus in the Pima Indian Dataset, Informatics in Medicine Unlocked (IMU), Vol. 2, pp. 92-104 (2016).
Yoichi Hayashi, Satoshi Nakano and Shota Fujisawa, Use of the Recursive-Rule Extraction Algorithm with Continuous Attributes to improve Diagnostic Accuracy in Thyroid Disease, Informatics in Medicine Unlocked (IMU), Vol.1, pp.1-8 (2016)
Yoichi Hayashi and Satoshi Nakano, Use of a Recursive-Rule Extraction Algorithm with J48graft to Archive Highly Accurate and Concise Rule Extraction from a Large Breast Cancer Dataset, Informatics in Medicine Unlocked (IMU), Vol.1, pp. 9-16 (2016).
Yoichi Hayashi, Yuki Tanaka, Tomohiro Takagi, Takamichi Saito, Hideaki Iiduka, Hiroyuki Kikuchi, Guido Bologna and Sushmita Mitra, Recursive-Rule Extraction Algorithm with J48graft and Applications to Generating Credit Scores, Journal of Artificial Intelligence and Soft Computing Research (JAISCR), Vol. 6, No. 1, pp.35-44 (2016)
Subhashis Banerjee, Sushmita Mitra, Uma Shankar and Yoichi Hayashi, A Novel GBM Saliency Detection Model using Multi-channel MRI, PLOS ONE, Vol. 11, No. 1, e0146388 (2016).
8. Esmaeil Hadavandi, Jamal Shahrabi and Yoichi Hayashi, SPMoE: A Novel Subspace projected Mixture of Experts model for multi-target prediction problems, Soft Computing, Vol. 20 pp.2047-2065 (2016).
Yoichi Hayashi, Guido Bologna and Riku Hashiguchi, Pareto Optimal Perspectives between Accuracies and Number of Rules Extracted by a Re-RX algorithm Family, International Conference on Artificial Neural Networks (ICANN 2016), Barcelona, Spain, Sept. 6-9, 2016, LNCS 9887, pp.537-538 (2016)
Guido Bologna and Yoichi Hayashi, A rule extraction study on neural network trained by deep learning, Proc. of the International Joint Conference on Neural Networks (IJCNN 2016), Vancouver, July 25-29, pp. 668-675 (2016)
Marcin Zalasinski, Krzysztof Cpalaka and Yoichi Hayashi, A new approach to the dynamic signature verification aimed at minimizing the number of global features, Proceedings of the 15th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2016), Zakopane, Poland, June 12-16, Lecture Notes in Artificial Intelligence, pp. 218-231 (2016)
Krystian Lapa, Krzysztof Cpalaka and Yoichi Hayashi, New approach for nonlinear modelling based online designing of the fuzzy rule base, Proceedings of the 15th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2016), Zakopane, Poland, June 12-16, Lecture Notes in Artificial Intelligence, pp. 230-247 (2016).
Rudy Setiono, Arnulfo Azcarraga and Yoichi Hayashi, Using sample selection to improve accuracy and simplicity of rules extracted from neural networks, International Journal of Computational Intelligence and Applications (IJCIA), Vol. 14, No. 4, pp. 1550021-1 – 1550021-20 (2015)
Yoichi Hayashi, Tomohiro Takagi, Hiroyuki Mori, Hiroaki Kikuchi, Takamichi Saito, Hideaki Iiduka and Sayaka Akioka, Survey on the Family of the Recursive-Rule Extraction Algorithm, Journal of Computer Science Technology Updates, Vol.1, No.1, pp. 26-34, (2015).
Azcarraga J., Azcarraga A., Marcos, N. & Hayashi, Y. (2015). Selective Prediction of Student Emotions based on Unusually Strong EEG Signals. In Ogata, H. et al. (Eds.) 23rd International Conference on Computers in Education (ICCE) (pp. 79-84). Hangzhou, China: ICCE 2014 Organizing Committee. (ISBN 978-4-9908014-5-8)
Yoichi Hayashi, Yuki Tanaka and Shonosuke Yukita, Satoshi Nakano and Guido Bologna, Three-MLP Ensemble Re-RX algorithm and Recent Classifiers for Credit-Risk Evaluation, Proc. of the IEEE/INNS International Joint Conference on Neural Networks (IJCNN 2015), Killarney, Ireland, July 12-17, 2015, pp.677-685.
Yoichi Hayashi and Shota Fujisawa, Strategic Approach for Multiple-MLP Ensemble Re-RX Algorithm, Proc. of the IEEE/INNS International Joint Conference on Neural Networks (IJCNN 2015), Killarney, Ireland, July 12-17, 2015, pp. 669-676.
Lukasz Laskowski, Jerzy Jelonkiewicz and Yoichi Hayashi, Extensions of Hopfield Neural Networks for Solving Stereo-Matching Problem, Proceedings of the 14th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2015), Zakopane, Poland, June 14-18, Lecture Notes in Artificial Intelligence, Vol. 9119, pp. 243-257, pp.59-71, 2015.
Marcin Zalasinski, Krzysztof Cpalka and Yoichi Hayashi, New Fast Algorithm for Dynamic Signature Verification Using Global Features Values, Proceedings of the 14th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2015), Zakopane, Poland, June 14-18, Lecture Notes in Artificial Intelligence, Vol. 9119, pp. 175-188, 2015.
Guido Bologna and Yoichi Hayashi, QSVM: A Support Vector Machine for Rule Extraction, IWANN 2015, Part II. LNCS Vol. 9095, Mallorca, Spain, June 10-12, pp.276-289, 2015.
Yoichi Hayashi, Yuki Tanaka, Tomoki Izawa and Shota Fujisawa, Characteristics and Potential Developments of Multiple-MLP Ensemble Re-RX Algorithm, Proceedings of the 21st International Conference on Neural Information Processing (ICONIP 2014), Kuching, Malaysia, November 3-6, 2014, L.C. Kiong et al. (Eds.), Lecture Notes in Computer Science, Vol. 8834, pp.619-627, 2014.
Yoichi Hayashi, Yuki Tanaka, Shota Fujisawa and Tomoki Izawa, Comparative Study of Performances on the Family of the Recursive-Rule Extraction Algorithm, Proceedings of the 24nd International Conference on Artificial Neural Networks (ICANN 2014), Hamburg, Germany, Sept. 15-19, 2014, S. Wermter et al. (Eds.): ICANN 2014, Neural Networks (ICANN 2014), Lecture Notes in Computer Science, Vol. 8681, pp. 491-498, 2014.
Rudy Setiono, Arnulfo Azcarraga and Yoichi Hayashi, MofN Rule Extraction from Neural Networks Trained with Augmented Discretized Input, Proceedings of the IEEE 2014 International Joint Conference on Neural Networks (IJCNN 2014), Beijing, China, July 6-11, 2014, pp. 2014.
Marcin Zalasinski, Krzysztof Cpalka and Yoichi Hayashi, New Method for Dynamic Signature Verification Based on Global Features, Proceedings of the 13th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2014), Zakopane, Poland, June 1-5, Lecture Notes in Artificial Intelligence, Vol. 8468, pp. 243-257, 2014.
Yoichi Hayashi, Neural Network Rule Extraction by A New Ensemble Concept and Its Theoretical and Historical Backgrounds: A Review, International Journal of Computational Intelligence and Applications, Vol.12, No.4, pp.1340006-1 – 1340006-22 (2013)
Yoichi Hayashi, Ryusuke Sato and Sushmita Mitra, A New Approach to Three Ensemble Neural Network Rule Extraction using Recursive-Rule eXtraction algorithm, Proc. Int. Joint Conf. Neural Networks ( IJCNN 2013), Dallas, Aug. 4-9, pp.835-841 (2013)
A. Azcarraga, Y. Hayashi, R. Setiono, Credit scoring using neural networks with augmented discretized inputs. Proceedings of the 12th International Decision Sciences Institute Conference, Bali, Indonesia, July 2013, pp.1412-1426 (2013).
A. Azcarraga, C. Enriquez, Y. Hayashi and R. Setiono, Using neural network for visualizing poverty, Proceedings of the 12th International Decision Sciences Institute Conference, Bali, Indonesia, July 2013, pp. 1005-1023 (2013)
Yoichi Hayashi. Neural Data Analysis: Ensemble Neural Network Rule Extraction and Its Theoretical Backgrounds (Keynote Speech), Proceeding of the 12th International Conference and Historical on Artificial Intelligence and Soft Computing (ICAISC2013), Zakopane, Poland, June 9-13, 2013. (LNAI Vol. 7894 Part 1 (Invited Paper), pp.1-19)
Atsushi Hara and Yoichi Hayashi, A New Neural Data Analysis Approach Using Ensemble Neural Network Rule Extraction, Proceedings of the 22nd International Conference on Artificial Neural Networks (ICANN 2012), Lausanne, Switzerland, September 11-14, 2012, (LNCS, Vol. 7552, pp.515-522.)
Atsushi Hara and Yoichi Hayashi, Ensemble neural network rule extraction using Re-RX algorithm, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 2012), Brisbane, Australia, June 11-15, 2012, pp.604-609.
Piotr Duda, Yoichi Hayashi and Maciej Jaworski, On the Strong Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Non-stationary Environment, Proceeding of the 11th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2012), Zakopane, Poland, April 29-May 3, 2012, Lecture Notes in Artificial Intelligence, Vol.7267, pp.47-54.
Lena Pietruczuk and Yoichi Hayashi, Strong Convergence of the Recursive Parzen-Type Probabilistic Neural Network Handling Nonstationary Noise, Proceedings of the 11th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2012), April 29-May 3, 2012, Zakopane, Poland, Lecture Notes in Artificial Intelligence Vol. 7267, pp.160-168.
Sushmita Mitra, Ranajit Das and Yoichi Hayashi, Genetic Networks and Soft Computing, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol.8, No.1, pp.94-107 (2011)
Yoichi Hayashi, Ming-Huei Hsieh and Rudy Setiono, Understanding consumer heterogeneity: A business intelligence application of neural networks, Knowledge-Based Systems, Vol.23, No.8, pp.856-863 (2010)
Yoichi Hayashi, Ming-Huei Hsieh and Rudy Setiono, Predicting consumer preference for fast-food franchise: A data mining approach, Journal of the Operational Research Society, Vol.60, No.9, pp.1221-1229 (2009)
Yoichi Hayashi, Ming-Huei and Rudy Setiono. Predicting eating-out frequency of Taiwanese consumers: A business intelligence application of neural networks. Proceedings of the 10th International Conference Decision Science Institute, 2009, Nancy, France, pp. 651-670.
Koichi Odajima,Yoichi Hayashi, Tianxia Gong, and Rudy Setiono, Greedy rule generation from discrete data and its use in neural network rule extraction, Neural Networks, Vol.21, No.7, pp.1020-1028 (2008)
24. Takehito Yamada and Yoichi Hayashi. Signal Peptide Sequence Analysis and Cleavage Site Prediction. In GIW 2008 (CD-ROM Proceedings). (2008)
Dieter Kopecky, Klaus-Peter Adlassnig, Andorea-Romana Prusa, Michael Hayde, Yoichi Hayashi, Birgit Panzenbock, Andorea Rappelsberger and Arnold Pollak, Knowledge-based generation of diagnostic hypotheses and therapy recommendations for toxoplasma infection in pregnancy, Medical Informatics and The Internet in Medicine, Vol.32, No.3, pp.119-214 (2007)
Marcus Vitek, Michaela Pinter, Andrea Rappelsberger, Yoichi Hayashi and Klaus-Peter Adlassnig, Web-Based Decision Support in Selecting Patients with Parkinson's Disease for Deep Brain Stimulation. In Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), June 20-22, 2007, Maribor, Slovenia, pp.79-84.
Sushmita Mitra and Yoichi Hayashi, Bioinformatics With Soft Computing, IEEE Transactions on Systems, Man and Cybernetics - Part C: Applications and Reviews, Vol.36, No.5, pp.616-635 (2006)
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Fuzzy Markov Chains, Journal of Fuzzy Mathematics, Vol.14, No.3, pp.723-737 (2006)
Klaus-Peter Adlassnig and Yoichi Hayashi, Medical Intelligence Service Provider Based on Interconnected, Cooperating Medical Decision Support Improving Public Health through the Internet. In Eysenbach, G. (Ed.) Book of the 11th World Congress on Internet in Medicine (MedNet 2006), October 14-19, 2006, Toronto, Canada.
Koichi Odajima, Yoichi Hayashi and Rudy Setiono, Greedy rule generation from discrete data and its use in neural network rule extraction, Proceedings of the IEEE International Joint Conference on Neural Networks, July 16-21, 2006, Vancouver, Canada, pp.3499-3505.
Klaus-Peter Adlassnig and Yoichi Hayashi, Medical Intelligence Service Provider Based on Interconnected, Cooperating Medical Decision Support Systems, 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, Toronto, Canada, pp.15.
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Fuzzy Eigenvalues, Journal of Fuzzy Mathematics, Vol.13, No.4 pp.757-773 (2005)
Klaus-Peter Adlassnig, Alexander Blacky, Walter Koller and Yoichi Hayashi, ICU-Based Monitoring of Nosocomial Infections, Proceedings of the International Conference on Intelligent Agents, Web Technologies and International Commerce (IAWTIC 2005), November 28-30, 2005, Vienna, Austria, Vol.1,pp.1054-1059.
Klaus-Peter Adlassnig, Wolfgang Horak, Andrea Rappelsberger and Yoichi Hayashi, Embedded Knowledge-Based Diagnostic Intelligence to Interpret Hepatitis Serology Test Results, Proceedings of the International Conference on Intelligent Agents, Web Technologies and International Commerce (IAWTIC 2005), November 28-30, 2005, Vienna, Austria, Vol.2, pp.1080-1085.
Klaus-Peter Adlassnig, Alexander Blacky, Walter Koller and Yoichi Hayashi, ICU-Based Monitoring of Nosocomial Infections, Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA 2005), November 28-30, Vienna, Austria,Vol.1, pp.1054-1059.
Karl Boegl, Klaus-Peter Adlassnig, Thomas E. Rothenflush, Harald Leitich and Yoichi Hayashi, Knowledge Acquisition in the Fuzzy Knowledge Representation Framework of a Medical Consultation System, Artificial Intelligence in Medicine, Vol.30, pp.1-26 (2004)
Danuta Rutkowska and Yoichi Hayashi, Fuzzy inference neural networks with fuzzy parameters, TASK QUARTERLY, Vol.7, No.1, pp.7-22 (2003)
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Solving fuzzy problems in operations research: inventory control, Soft Computing, Vol.7, pp.121-129 (2003)
Robert Nowicki, Agata Pokropinska and Yoichi Hayashi, On Designing of Neuro-Fuzzy Systems, Lecture Notes in Computer Science, Vol. 3019, pp.641-649 (2003)
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Linear systems of first order ordinary differential equations: fuzzy initial conditions, Soft Computing, Vol.6, pp.415-421 (2002)
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Fuzzy Difference Equations: The Initial Value Problem, Journal of Advanced Computational Intelligence, Vol.5, pp.315-325 (2002)
Yoichi Hayashi and Rudy Setiono, Combining neural network predictions for medical diagnosis, Computers in Biology and Medicine, Vol.32, pp.237-246 (2002)
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Solving fuzzy equations using evolutionary algorithms and neural nets, Soft Computing, Vol.6, No.2, pp.116-123 (2002)
Danuta Rutkowska, Robert Nowicki and Yoichi Hayashi, Parallel Processing by Implication based Neuro-Fuzzy Systems, Lecture Notes in Computer Science, Vol.2328, pp.599-607 (2002)
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Multi-objective Fully Fuzzified Linear Programming, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol.9, No.5, pp.605-621 (2001)
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Fuzzy Queueing Theory Revisited, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol.9, No.5, pp.527-537 (2001)
Yoichi Hayashi, Rudy Setiono and Katsumi Yoshida, Learning M-of N Concepts for Medical Diagnosis Using Neural Networks, Journal of Advanced Computational Intelligence, Vol.4, No.4, pp.294-301 (2001)
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Intelligent Consultant, Journal of Advanced Computational Intelligence, Vol.5, No.2, pp.199-124 (2001)
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Fuzzy Hierarchical Analysis Revisited, European Journal of Operational Research, Vol.129, No.1, pp.48-64 (2001)
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Solving Fuzzy Problems in Operations Research : Inventry Control, Proceedings of the Joint 9th IFSA World Congress and 20th NAFIPS International Conference, July 25-28, 2001, Vancouver, Canada, pp. 2704-2707.
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Fuzzy Markov Chains, Proceedings of the Joint 9th IFSA World Congress and 20th NAFIPS International Conference, July 25-28, 2001, Vancouver, Canada, pp. 2708-2711.
Yoichi Hayashi, Rudy Setiono and Katsumi Yoshida, A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders, Artificial Intelligence in Medicine, Vol.20, No.3, pp. 205-216 (2000)
Sushmita Mitra and Yoichi Hayashi, Neuro-Fuzzy Rule Generation: Survey in Soft Computing Framework, IEEE Transactions on Neural Networks, Vol.11, No.3, pp.748-768 (2000)
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Fuzzy Integral Equations, Proceedings of the 9th IEEE international Conference on Fuzzy Systems (FUZZ-IEEE 2000), May 7-10, 2000, San Antonio, Texas, Vol.1, pp.319-323.
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Solving Fuzzy Problems in Operation Research: Inventory Control. Proceedings of the 9th IEEE international Conference on Fuzzy Systems (FUZZ-IEEE 2000), May 7-10, 2000, San Antonio, Texas, Vol.1, pp.352-357.
Wlodzislaw Duch, Rafal Adamczak and Yoichi Hayashi, Neural Eliminators and Classifiers, Proceedings of the 7th International Conference on Neural Information Processing (ICONIP 2000), November 14-18, 2000, Taejon, Korea, pp.1029-1034.
Fuzzy and Crisp Logical rule extraction methods in application to medical date, Verlag Fuzzy Systems in Medicine, Springer, Vol. 41, pp.593-616 (2000)
Computational intelligence methods and data understanding, In Quo Vadis computational Intelligence?, Verlag New trends and approaches Springer in computational intelligence, Vol.54, pp.256-270 (2000)
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Neural Net Solution to Fuzzy Linear Programming, Fuzzy Sets and Systems, Vol.106, No.2, pp. 99-111 (1999)
Danuta Rutkowska and Yoichi Hayashi, Neuro-Fuzzy Systems Approaches, Journal of Advanced Computational Intelligence, Vol.3, No.3, pp.177-185 (1999)
James J. Buckley, Thomas Feuring and Yoichi Hayashi. Solving Fuzzy Problems in Operations Reseach, Journal of Advanced Computational Intelligence, Vol.3, No.3, pp.171-176 (1999)
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Fuzzy Geometry Database, Journal of Advanced Computational Intelligence, Vol.3, No.3, pp.164-170 (1999)
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Multivariate Non-Liner Fuzzy Regression: An Evolutionary Algorithm Approach, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol.7, No.2, pp.83-98(1999)
Ernest Czogala, Jacek Leski and Yoichi Hayashi, A Classifier Based on Neuro-Fuzzy Inference System, Journal of Advanced Computational Intelligence, Vol.3, No.4, pp.282-288 (1999)
James J. Buckley, Ernest Czogala and Yoichi Hayashi, On the Equivalence of Neural Nets and Fuzzy Expert Systems, Fuzzy Sets and Systems, Vol.100・Sup., pp.145-150 (1999)
James J. Buckley and Yoichi Hayashi, Can Neural Nets be Universal Approximators for Fuzzy Functions?, Fuzzy Sets and Systems, Vol.101, No.3, pp.323-330(1999)
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Fuzzy Difference Equations : The Initial Value Problem, Proceedings of the 8th IEEE international Conference on Fuzzy Systems (IFSA 99), August 16-20, 1999, Taipei, Taiwan, Vol.2, pp.1037-1041.
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Fuzzy Initial Value Problem for N-th Order Linear Differential Equations, Proceedings of the 8th IEEE international Conference on Fuzzy Systems (IFSA 99), August 16-20, 1999, Taipei, Taiwan,Vol.1, pp.471-475.
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Fuzzy Hierarchical Analysis Revisited, Proceedings of the 8th IEEE international Conference on Fuzzy Systems (IFSA 99), August 16-20, 1999, Taipei, Taiwan ,Vol. 1, pp.1-5.
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Evolutionary Algorithm Solution to Multivariate Non-Linear Fuzzy Regression, Proceedings of the 8th IEEE international Conference on Fuzzy Systems (IFSA 99), August 16-20, 1999, Taipei, Taiwan ,Vol.1, pp.440-443.
Thomas Feuring, James J. Buckley and Yoichi Hayashi, Overfitting: A Fuzzy Neural Net Solution, Proceedings of the 8th IEEE international Conference on Fuzzy Systems (FUZZ-IEEE 99), August 22-25, 1999, Seoul, Korea, Vol.1, pp.61-65.
Yoichi Hayashi, Rudy Setiono and Katsumi Yoshida, Diagnosis of hepatobiliary disorders using rules extracted from artificial neural networks. Proceedings of the 8th IEEE international Conference on Fuzzy Systems (FUZZ-IEEE 99), August 22-25, 1999, Seoul, Korea, Vol.1, pp.344-348.
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Multivariate Non-Linear Fuzzy Regression, Proceedings of the 8th IEEE international Conference on Fuzzy Systems (FUZZ-IEEE 99), August 22-25, 1999, Seoul, Korea, Vol. 2, pp.714-718.
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Fuzzy Hierachical Analysis, Proceedings of the 8th IEEE international Conference on Fuzzy Systems (FUZZ-IEEE 99), August 22-25, 1999, Seoul, Korea, Vol.2, pp.1009-1013.
James J. Buckley, Thomas Feuring and Yoichi Hayashi, Artificial Agent, Proceedings of the 8th IEEE international Conference on Fuzzy Systems (FUZZ-IEEE 99), August 22-25, 1999, Seoul, Korea, Vol. 3, pp.1460-1464.
James J. Buckley and Yoichi Hayashi, Neural Nets, Fuzzy and Crisp, in the Design of an Artificial Agent, Proceedings of the IEEE international Conference on Neural Networks (IJCNN 99), July 10-16, 1999, Washington, D.C.,Vol.4, pp.2414-2418.
Thomas Feuring, James J. Buckley and Yoichi Hayashi, Fuzzy Neural Nets Can Solve the Overfitting Problem, Proceedings of the IEEE international Joint Conference on Neural Networks (IJCNN 99), July 10-16, 1999, Washington, D.C, Vol.6, pp.4197-4201.
James J. Buckley and Yoichi Hayashi, Application of Fuzzy Chaos to Fuzzy Simulation, Fuzzy Sets and Systems, Vol.99, No2, pp.151-157 (1998)
Nikhil R. Pal, Kallol Banerjee and Yoichi Hayashi, SUM-PI network: A new multilayer feed forward neural network, Proceedings of the 5th International Conference on Neural Information Processing (ICONIP 98), Oct. 21-23, 1998, Kitakyushu, Japan, Vol.2, pp.687-690.
Nikhil R. Pal and Yoichi Hayashi, A Proposal For Direct Fuzzy Rule Generation From Numerical Data, Proceedings of the 5th International Conference on Neural Information Processing (ICONIP 98), Oct. 21-23, 1998, Kitakyushu, Japan, Vol.2, pp.971-974.
Les M. Sztandera and Yoichi Hayashi, Automated Extraction of Fuzzy IF-Then Rules and its Application to Medical Diagnosis, Proceedings of the 7th International Conference on Information Processing Management of Uncertainty in knowledge-Based Systems(IPMU 98), July 6-10, 1998, Paris, France, Vol.2, pp.1907-1908.
Thomas Feuring, James J. Buckley and Yoichi Hayashi, Fully Fuzzified Linear Programming: An Evolutionary Algorithm, Proceedings of the IEEE International Conference on Fuzzy Systems(FUZZ-IEEE 98), May 4-9, 1998, Anchorage, Alaska, Vol.1, pp.611-616.
Thomas Feuring, James J. Buckley and Yoichi Hayashi, Fuzzy regression: An Evolutionary Algorithm Approach, Proceedings of the IEEE International Conference on Fuzzy Systems(FUZZ-IEEE 98), May 4-9, 1998, Anchorage, Alaska, Vol.1, pp.704-708.
Thomas Feuring, James J. Buckley and Yoichi Hayashi, A Gradient Decent Learning Algorithm for Fuzzy Neural Networks. Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 98), May 4-9, 1998, Anchorage, Alaska, Vol.2, pp.1136-1141.
Thomas Feuring, James J. Buckley and Yoichi Hayashi, Adjusting Fuzzy Weights in Fuzzy Neural Nets, Proceedings of the second IEEE International Conference on Knowledge based Intelligent Electronic Systems (KES 98), April 21-23, 1998, Adelaide, Australia,Vol.2, pp.402-406.
Thomas Feuring, James J. Buckley and Yoichi Hayashi, Verbal Controlling, Proceedings of the second IEEE International Conference on Knowledge based Intelligent Electronic Systems (KES 98), April 21-23, 1998, Adelaide, Australia,Vol.2, pp.407-414.
Yoichi Hayashi and Pradip Dey, A Parallel Algorithm for Multi-dimensional Fuzzy Reasoning-Toward A Parallel Fuzzy Production System, Processing of the ACM Sixteenth Annual Computer Science Conference (ACM98), February 23-25, 1998, Atlanta, USA, pp. 731-733.
S. Srinivasan, Pradip Dey and Yoichi Hayashi, A Flexible Interactive Control Structure for Rule-Based Systems, Processing of the ACM Sixteenth Annual Computer Science Conference (ACM98), February 23-25, 1998, Atlanta, USA, pp. 447-453.
James J. Buckley, Esfandiar Eslami and Yoichi Hayashi Solving Fuzzy Equations Using Neural, Nets, Fuzzy Sets and Systems, Vol.86, No.3, pp.271-278 (1997)
James J. Buckley and Yoichi Hayashi, Can Neural Nets be Universal Approximators for Fuzzy Functions? Proceedings of the 6th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 1997), July 1-5, 1997, Barcelona, Spain, Vol.2, pp.1101-1104.
James J. Buckley and Yoichi Hayashi, Fuzzy Differential Equations: A New Solution. Proceedings of the 7th International Fuzzy Systems Association World Congress (IFSA 97), June 25-29, 1997, Prague, Czech, Vol.2, pp.27-30.
James J. Buckley, W. Siler and Yoichi Hayashi, A new Fuzzy Intersections and Union. Proceedings of the 7th International Fuzzy Systems Association World Congress (IFSA 97), June 25-29, 1997, Prague, Czech, Vol.1, pp.49-54.
James J. Buckley and Yoichi Hayashi, Neural Nets Can be Universal Approximators for Fuzzy Functions, Proceedings of the IEEE International Conference on Neural Networks (ICNN 97), July 1-5, 1997, Houston, USA, Vol.4, pp.2347-2350.
James J. Buckley and Yoichi Hayashi, Neural Net Approximations to Solutions of Systems of Fuzzy Linear Equations, Proceedings of the IEEE International Conference on Neural Networks (ICNN 97), July 1-5, 1997, Houston, USA, Vol.4, pp. 2355-2358.
Les M. Sztandera and Yoichi Hayashi, Diagnosing Hepatobiliary Disorders Using a Fuzzy System. Proc. of Joint Conference Information Sciences, March 2-5, 1997, Research Triangle Park, North Carolina, Vol.1, pp.222-223.
James J. Buckley and Yoichi Hayashi, Neural Net Solution to Fuzzy Linear Programming, Proceedings of Fifth IEEE International Conference on Fuzzy Systems(FUZZ-IEEE 96), September 8-11, 1996, New Orleans, USA, Vol.3, pp.1563-1566.
Yoichi Hayashi, Penmatcha V. Krishnamraju and Kevin D. Reilly, Checking Completeness and Consistency in Neural Network Knowledge Base, Journal of Artificial Neural Networks,Vol.2, pp.107-118 (1995)
James J. Buckley and Yoichi Hayashi, Neural Nets for Fuzzy Systems, Fuzzy Sets and Systems, Vol.71, No.3, pp.265-276 (1995) (Guest Editor: Tosho Fukuda, Fuzzy neural control. Buckley & Hayashi paper)
Yoichi Hayashi and James J. Buckley, Implementation of Fuzzy Max-Min Neural Controller, Proceedings of the IEEE International Conference on Neural Networks(ICNN 95), Nov.27-Dec.1, 1995, Perth, Australia ,Vol.6, pp.3113-3117.
James J. Buckley, Esfandiar Eslami and Yoichi Hayashi, Solving Fuzzy Equations Using Neural Nets, Proceedings of the IEEE Third International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Society(ISUMA-NAFIPS 95), September 17-20, 1995, Maryland, USA, pp. 302-304.
James J. Buckley and Yoichi Hayashi, Fuzzy Neural Networks: A Survey (Invited Paper), Fuzzy Sets and Systems, Vol.66, No.1, pp.1-13 (1994)
Yoichi Hayashi and James J. Buckley, Approximations Between Fuzzy Expert Systems and Neural Networks, International Journal of Approximate Reasoning, Vol.10, No.1, pp.63-73 (1994)
Yoichi Hayashi, Neural Expert System Using Fuzzy Teaching Input and Its Application to Medical Diagnosis, INFORMATION SCIENES: Applications, Vol.1, No.1,pp. 47-58 (1994)
Hiroo Igarashi, Yoichi Hayashi, Masateru Sakata, Hiroshi Koya and Toshihiko Fukumoto, Development of Water Chemistry Diagnostic System for BWRs Using Fuzzy Reasoning, Journal of Nuclear Science and Technology, Vol.31, No.10, pp.1023-1037 (1994)
James. M. Keller, Yoichi Hayashi, and Zhihong Chen, Addictive Hybrid Networks for Fuzzy Logic, Fuzzy Sets and Systems, Vol.66, No.3, pp.307-313 (1994)
James J. Buckley and Yoichi Hayashi, Can Approximate Reasoning be Consistent ?, Fuzzy Sets and Systems, Vol.65, No.1, pp.13-18 (1994)
James J. Buckley and Yoichi Hayashi, Fuzzy Genetic Algorithm and Applications, Fuzzy Sets and Systems, Vol.61, No.2, pp.129-136 (1994)
James J. Buckley and Yoichi Hayashi, Can Fuzzy Neural Nets Approximate Continuous Fuzzy Functions ?, Fuzzy Sets and Systems, Vol.61, No.1, pp.43-51 (1994)
Penmatcha V. Krishnamraju, James J. Buckley, Kevin D. Reilly and Yoichi Hayashi, Genetic Learning Algorithms for Fuzzy Neural Nets, Proceedings of the Third IEEE International Conference on Fuzzy Systems(FUZZ-IEEE 94), June 26-29, 1994, Orlando, USA, Vol.3, pp.969-1974.
James J. Buckley and Yoichi Hayashi, Hybrid Fuzzy Neural Nets are Universal Approximators, Proceedings of the Third IEEE International Conference on Fuzzy Systems(FUZZ-IEEE 94), June 26-29, 1994, Orlando, USA, Vol.1, pp.238-243.
Yoichi Hayashi, James J. Buckley and Ernest Czogala, Fuzzy Neural Network with Fuzzy Signals and Weights, International Journal of Intelligent Systems, Vol.8, pp.527-537 (1993)
James J. Buckley, Yoichi Hayashi and Ernest Czogala. On the Equivalence of Neural Nets and Fuzzy Expert Systems, Fuzzy Sets and Systems, Vol.53, No.2, pp.129-134 (1993)
James J. Buckley and Yoichi Hayashi, Hybrid Neural Nets Can be Fuzzy Controllers and Fuzzy Expert Systems, Fuzzy Sets and Systems, Vol.60, No.2, pp.135-142 (1993)
James J. Buckley and Yoichi Hayashi, Numerical Relationships Between Neural Networks, Continuous Functions, and Fuzzy Systems (Invited Paper), Fuzzy Sets and Systems, Vol.60, No.1, pp.1-8 (1993)
James J. Buckley and Yoichi Hayashi, Fuzzy Input-Output Controllers are Universal Approximators, Fuzzy Sets and Systems, Vol.58, No.3, pp.273-278 (1993)
James J. Buckley and Yoichi Hayashi, Direct Fuzzification of Neural Networks, Proceedings of the First Asian Fuzzy Systems Symposium, November 23-26, 1993, Singapore, pp. 560-567.
James J. Buckley and Yoichi Hayashi, Fuzzy Genetic Algorithms for Optimization, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 93), October 25-29, 1993, Nagoya, Japan, Vol.1, pp.725-728.
James J. Buckley and Yoichi Hayashi, Are Regular Fuzzy Neural Nets Universal Approximators? Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 93), October 25-29, 1993, Nagoya, Japan, Vol.1, pp.721-724.
James J. Buckley and Yoichi Hayashi, Fuzzy I/O Controller as Universal Approximators, Proceedings of the World Congress on Neural Networks (WCNN 93), July 11-15, 1993, Portland, USA, Vol.2, pp.92-96.
James J. Buckley and Yoichi Hayashi, Fuzzy Controller and Fuzzy Expert Systems as Hybrid Neural Nets, Proceedings of the fifth IFSA World Congress (IFSA 93), July 4-9, 1993, Seoul, Korea, Vol.1, pp.70-72.
Yoichi Hayashi, James. M. Keller, and Zhihong Chen, Fuzzy Neural Controller with Additive Hybrid Operators, Proceedings of the fifth IFSA World Congress (IFSA 93), July 4-9, 1993, Seoul, Korea, Vol.2, 1118-1120.
Yoichi Hayashi, James and M. Keller, Comparison of Network-Based Inference Mechanisms for Fuzzy Logic, Proceedings of the Second International Symposium on Uncertainty Modeling & Analysis (ISUMA 93), April 25-28, 1993, Maryland , USA, pp.334-348.
James J. Buckley and Yoichi Hayashi, Fuzzy Simulation Based on Fuzzy Chaos, Proceedings of the Second IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 93), March 28-April 1, 1993, San Francisco, USA, Vol.1, pp.1039-1042.
Yoichi Hayashi, James. M. Keller, and Zhihong Chen, Interpretation of Nodes in Networks for Fuzzy Logic, Proceedings of the Second IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 93), March 28-April 1, 1993, San Francisco, USA, Vol.1, pp.1203-1207.
Yoichi Hayashi, James J. Buckley and Ernest Czogala, Systems Engineering Applications of Fuzzy Neural Networks, Journal of Systems Engineering, Vol.2, pp.232-236 (1992)
Yoichi Hayashi and Hideto Ikeda, A Structural Analysis of Database Management System Technology with some Japanese Experience, Information & Management, Vol.22, No.6, pp.347-362 (1992)
Kevin D. Reilly, Yoichi Hayashi and Mark F. Villa, Hybrid Systems Approches with Ascertainment Learning in Neural Networks, Proceedings of International Simulation Technology Conference (SIMTEC 92), November. 4-6, 1992, Texas, USA, pp. 447-454.
Yoichi Hayashi, James J. Buckley and Ernest Czogala, On the Equivalence of Neural Networks and Fuzzy Expert Systems, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 92), November 3-6, 1992, Beijing, Vol.11, pp.691-695 (1992)
Yoichi Hayashi, Penmatcha V. Krishnamraju and Kevin D. Reilly, Hybrid Expert System with Fuzzy If-Then Rule Generation, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 92), November 3-6, 1992, Beijing, Vol. 3, pp.501-506.
Yoichi Hayashi, Penmatcha V. Krishnamraju and Kevin D. Reilly, Validation of Neural Network Knowledge Base, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 92), November 3-6, 1992, Beijing, Vol.3, pp.495-500.
Yoichi Hayashi Neural Expert Systems Using Fuzzy Teaching Input and Its Application to Medical Diagnosis. Proceedings of the second International Joint Conference on Fuzzy logic and Neural Fuzzy Logic and Neural Networks (IIZUKA 92), July 17-22, 1992, Iizuka, Japan, pp.989-993.
Yoichi Hayashi, James J. Buckley and Ernest Czogala, Direct Fuzzification of Neural Networks and Fuzzified Delta Rule, Proceedings of the second International Joint Conference on Fuzzy logic and Neural Networks (IIZUKA 92), July 17-22, 1992, Iizuka, Japan, pp.73-76.
Yoichi Hayashi, James J. Buckley and Ernest Czogala, Approximation between Fuzzy Expert Systems and Neural Networks. Proceedings of the second International Joint Conference on Fuzzy logic and Neural Networks (IIZUKA 92), July 17-22, 1992, Iizuka, Japan, pp.135-139.
Yoichi Hayashi, James J. Buckley and Ernest Czogala, Fuzzy Neural Network with Fuzzy Signals and Weights, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 92), June 7-11, 1992, Baltimore, USA, Vol. 2, pp.696-701.
James J. Buckley, Yoichi Hayashi and Ernest Czogala, Systems Engineering Applications of Fuzzy Neural Networks. Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 92), June 7-11, 1992, Baltimore, USA, Vol. 2, pp.413-418.
Yoichi Hayashi, James J. Buckley and Ernest Czogala, Fuzzy Expert Systems Versus Neural Networks, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 92), June 7-11, 1992, Baltimore, USA, Vol. 2, pp.720-726.
Yoichi Hayashi, Ernest Czogala and James J. Buckley, Fuzzy Neural Controller, Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 92), March 8-12, 1992, San Diego, pp. 97-202.
Yoichi Hayashi, A Neural Expert System Using Fuzzy Teaching Input. Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 92), March 8-12, 1992, San Diego, pp.485-491.
K. Otoha, K. Ohsumi, H. Igarashi and Yoichi Hayashi, Water Quality Diagnosis System for Evaluation of Reactor Water Impurities, Transactions of American Nuclear Society, pp.447-449 (1991)
Yoichi Hayashi, A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules and Its Application to Medical Diagnosis, Morgan Kufmann, Advances in Neural Information Processing Systems, Vol.3, pp.578-584 (1991)
Yoichi Hayashi, Penmatcha V. Krishnamraju and Kevin D. Reilly, Handling Uncertainty and Ambiguity in Conventional and Neural Expert Systems, Proceedings of the Fuzzy Engineering toward Human Friendly Systems (IFES 91), November 13-15, Yokohama, Japan, Vol.1, pp.598-608.
Yoichi Hayashi, Penmatcha V. Krishnamraju and Kevin D. Reilly, An Architecture for Hybrid Expert Systems, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN'91-Singapore), November 18-21,1991, Singapore, Vol.3, pp.2773-2778.
Penmatcha V. Krishnamraju, Kevin D. Reilly and Yoichi Hayashi, Neural and Conventional Expert Systems. Competitive and Cooperative Schemes, Proceedings of the Second Workshop on Neural Networks (WNN-AIND 91), February 11-13, 1991, Alabama, USA, pp. 649-656.
Pradip Dey and Yoichi Hayashi, A Multiprocessing Model of Natural Language Processing, Theoretical Linguistics, Vol.16, No.1, pp.11-23 (1990)
Yoichi Hayashi and Masato Nakai, Automated Extraction of Fuzzy IF-THEN Rules Using Neural Networks (In Japanese), The Transactions of the Institute of Electrical Engineers of Japan, Vol.110, No.3, pp.198-206 (1990)
Yoichi Hayashi, Masateru Sakata, Takashi Nakao and Shingo Ohhashi, Recognition Capability of Alphanumeric Characters by Distributed Method (In Japanese), The Transactions of the Institute of Electrical Engineers of Japan, Vol.110, NO.3, pp.156-165 (1990)
Stephen I. Gallant and Yoichi Hayashi, A Neural Expert System with Confidence Measurements, Uncertainty in Knowledge Bases, Lecture Note in Computer Sciences, Vol.521, pp.562-567(1990)
Yoichi Hayashi, Atsushi Imura and Katsumi Yoshida Fuzzy Neural Expert System and Its Application to Medical Diagnosis. Proceedings of the IEEE 8th International Congress of Cybernetics and Systems, June 11-15, New York, 1990, USA, Vol.1, pp.54-61.
Yoichi Hayashi and Atsushi Imura, Fuzzy Neural expert System with Automated Extraction of Fuzzy If-Then Rules from a Trained Neural Network, Proceedings of the First International Symposium on Uncertainty Modeling and Analysis (IZUMA 90), December 3-5, 1990, MaryLand, USA, pp. 489-494.
Yoichi Hayashi and Atsushi Imura, Novel and High-Speed Algorithm for Solving the Inverse Problem of Fuzzy Correspondence, Proceedings of the First International Symposium on Uncertainty Modeling and Analysis (IZUMA 90), December 3-5, 1990, MaryLand, USA, pp. 308-311.
Katsumi Yoshida, Yoichi Hayashi, Atsushi Imura and Naoki Shimada, Fuzzy Neural export System for Dignosing Hepatobiliary Disorders, Proceedings of the First International Conference on Fuzzy Logic & Neural Networks (IIZUKA 90), July 22-24, 1990, Iizuka, Japan, pp.539-543.
Yoichi Hayashi, Masateru Sakata and Stephen I. Gallant, Multi-layer Versus Single-Layer Neural Network and an Application to Reading Hand-Stamped Characters, Proceedings of the International Neural Network Conference (INNC 90), July 9-13, 1990, Paris, France, pp. 781-784.
Stephen I. Gallant and Yoichi Hayashi, A Neural Expert System with Confidence Measurements, Processing of the Third International Conference on Information Processing and management of Uncertainty in Knowledge-Based Systems (IPMU 90), July 2-6, 1990, Paris, France, pp.3-5.
Pradip Dey, Yoichi Hayashi and Edwin L. Battistella, A Combination of Strategies for Parsing Grammatical Agreement in Hindi, International Journal of Pattern Recognition and Artificial Intelligence, Vol.3, No.2, pp.261-273 (1989)
Yoichi Hayashi and Masato Nakai, An Efficient Algorithm for Multi-Dimensional Fuzzy Reasoning and Its Application to Fault Diagnosis (In Japanese), The Transactions of the Institute of Electrical Engineers of Japan, Vol.109, No.9, pp.653-660 (1989)
Yoichi Hayashi, Masateru Sakata, Takashi Nakao and Shingo Ohhashi, Alphanumeric Character Recognition Using A Connectionist Model with The Pocket Algorithm International Journal of Neural Networks Research & Applications, Vol.1, No.3, pp175-186 (1989)
Yoichi Hayashi and Masato Nakai. Reasoning Methods Using Fuzzy Production Rule with Linguistic Relative Importance in an Antecedent (In Japanese), The Transactions of the Institute of Electrical Engineers of Japan, Vol.109, No.9, pp.661-668 (1989)
Yoichi Hayashi and Masato Nakai. A Parallel Algorithm for Multi-Dimensional Fuzzy Reasoning (In Japanese), The Transactions of the Institute of Electrical Engineers of Japan, Vol.109, No.5, pp.345-352 (1989)
Katsumi Yoshida, Yoichi Hayashi and Atsushi Imura, A Connectionist Expert System for Diagnosing Hepatobiliary Disorders, Processing of the sixth Conference on Medical Informatics (MEDINFO 89), October 11-15, 1989, Beijing, China, vol.1, 116-120.
Katsumi Yoshida, Yoichi Hayashi, Eiichiro Tazaki and Yutaka Ohtsubo, Medical Database System with Fuzzy Reasoning, Processing of the sixth Conference on Medical Informatics (MEDINFO 89), October 11-15, 1989, Beijing, China, vol.1, pp.165-169.
Yoichi Hayashi, Eiichiro Tazaki, Katsumi Yoshida and Pradip Dey, Medical Diagnosis Using Simplified Muti-dimensional Fuzzy Reasoning, Processing of the IEEE International Conference on Systems, Men and Cybernetics, August 8-12, 1988, Beijing, China, pp. 58-62.
Yoichi Hayashi and Masato Nakai, Efficient Method for Multi-dimensional Fuzzy Reasoning and Its Application to Fault Diagnosis, Processing of the IEEE International Workshop on Artificial Intelligence for Industrial Applications, May 25-27, 1988, Hitachi, Japan, pp. 27-32.
Eiichiro Tazaki, Yoichi Hayashi, Katsumi Yoshida and Akira Koiwa, Development of Automated Health Testing and Services System via Fuzzy Reasoning, Processing of the IEEE International Conference on Systems, Man and Cybernetics, October 14-17, 1986, Atlanta USA, pp. 342-345.
Yoichi Hayashi, Operational Technology Problems on Practical Database Systems in Japan and Their Structural Analysis, Processing of the IEEE 9th International Computer Software & Application Conference (COMPSAC 85), October 9-11, 1985, Chicago, USA, pp.360-367.
Yoichi Hayashi and Naonori Nishida, Lexicographically Optimal Dynamic Flow Problems and Its Application to Models for Building Evacuation (In Japanese), Transactions of the Society of Instrument and Control Engineers of Japan, Vol.20, No.7, pp.606-613 (1984)
Yoichi Hayashi and Naonori Nishida, Generalized Lexicographically Optimal Flows in Networks with Multiple Sources and Sinks, International Journal of Systems Science, Vol.14, No.9, pp. 1013-1028 (1983)
Yoichi Hayashi, Hiromi Kanaoka and Naonori Nishida, A Decentralized Multicommodity Network Flow Problem with Desired Distribution of Inflow and Outflow(In Japanese),The Transactions of the Institute of Electrical Engineers of Japan, Vol.103-C, No.3, pp.60-66 (1983)
Yoichi Hayashi, Yoshiaki Ohtake and Naonori Nishida, A Dynamic Flow Problems with Desired Distribution of Departures and Arrivals(In Japanese), The Transactions of the Institute Electrical Engineers of Japan, Transactions of the Society of Instrument and Control Engineers of Japan, Vol.19, No.2, pp.110-117 (1983)
Yoichi Hayashi, Naonori Nishida and Eiichiro Tazaki, Optimal Synthesis of Network with weighted Constraints and Lower bounds of the flow Quantity for Multiple Sources and Sinks (In Japanese), Systems and Control, Japan, Vol.26, No.10, pp.661-670 (1982)
Yoichi Hayashi, Naonori Nishida and Eiichiro Tazaki, Optimal Synthesis of Network with weighted Constraints for Multiple Sources and Sinks (In Japanese), Transactions of the Society of Instrument and Control Engineers of Japan, Vol.18, No.5, pp.450-457 (1982)
