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Yoichi Hayashi
2010 – today
- 2013
[c21]Yoichi Hayashi: Neural Data Analysis: Ensemble Neural Network Rule Extraction Approach and Its Theoretical and Historical Backgrounds - (Invited Paper). ICAISC (1) 2013: 1-19- 2012
- [c20]Piotr Duda, Yoichi Hayashi, Maciej Jaworski: On the Strong Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Non-stationary Environment. ICAISC (1) 2012: 47-54
- [c19]Lena Pietruczuk, Yoichi Hayashi: Strong Convergence of the Recursive Parzen-Type Probabilistic Neural Network Handling Nonstationary Noise. ICAISC (1) 2012: 160-168
- [c18]Atsushi Hara, Yoichi Hayashi: A New Neural Data Analysis Approach Using Ensemble Neural Network Rule Extraction. ICANN (1) 2012: 515-522
- [c17]Atsushi Hara, Yoichi Hayashi: Ensemble neural network rule extraction using Re-RX algorithm. IJCNN 2012: 1-6
- 2011
- [j26]Sushmita Mitra, Ranajit Das, Yoichi Hayashi: Genetic Networks and Soft Computing. IEEE/ACM Trans. Comput. Biology Bioinform. 8(1): 94-107 (2011)
- [c16]Piotr Duda, Yoichi Hayashi: On the Weak Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks in a Time-Varying Environment. PPAM (1) 2011: 427-434
- [c15]Yoichi Hayashi, Lena Pietruczuk: On General Regression Neural Network in a Nonstationary Environment. PPAM (1) 2011: 461-469
- [c14]Maciej Jaworski, Yoichi Hayashi: On the Application of the Parzen-Type Kernel Probabilistic Neural Network and Recursive Least Squares Method for Learning in a Time-Varying Environment. PPAM (1) 2011: 490-500
- 2010
- [j25]Yoichi Hayashi, Ming-Huei Hsieh, Rudy Setiono: Understanding consumer heterogeneity: A business intelligence application of neural networks. Knowl.-Based Syst. 23(8): 856-863 (2010)
2000 – 2009
- 2009
- [j24]Yoichi Hayashi, Ming-Huei Hsieh, Rudy Setiono: Predicting consumer preference for fast-food franchises: a data mining approach. JORS 60(9): 1221-1229 (2009)
- 2008
- [j23]Koichi Odajima, Yoichi Hayashi, Gong Tianxia, Rudy Setiono: Greedy rule generation from discrete data and its use in neural network rule extraction. Neural Networks 21(7): 1020-1028 (2008)
- 2007
- [c13]Marcus Vitek, Michaela Pinter, Andrea Rappelsberger, Yoichi Hayashi, Klaus-Peter Adlassnig: Web-Based Decision Support in Selecting Patients with Parkinson's Disease for Deep Brain Stimulation. CBMS 2007: 79-84
- 2006
- [c12]Koichi Odajima, Yoichi Hayashi, Rudy Setiono: Greedy rule generation from discrete data and its use in neural network rule extraction. IJCNN 2006: 1833-1839
- 2005
- [c11]Klaus-Peter Adlassnig, Alexander Blacky, Walter Koller, Yoichi Hayashi: ICU-Based Monitoring of Nosocomial Infections. CIMCA/IAWTIC 2005: 1054-1059
- [c10]Klaus-Peter Adlassnig, Wolfgang Horak, Andrea Rappelsberger, Yoichi Hayashi: Embedded Knowledge-Based Diagnostic Intelligence to Interpret Hepatitis Serology Test Results. CIMCA/IAWTIC 2005: 1080-1085
- 2004
- [j22]Karl Boegl, Klaus-Peter Adlassnig, Yoichi Hayashi, Thomas E. Rothenfluh, Harald Leitich: Knowledge acquisition in the fuzzy knowledge representation framework of a medical consultation system. Artificial Intelligence in Medicine 30(1): 1-26 (2004)
- 2003
- [c9]Robert Nowicki, Agata Pokropinska, Yoichi Hayashi: On Designing of Neuro-Fuzzy Systems. PPAM 2003: 641-649
- 2002
- [j21]Yoichi Hayashi, Rudy Setiono: Combining neural network predictions for medical diagnosis. Comp. in Bio. and Med. 32(4): 237-246 (2002)
- [j20]James J. Buckley, Thomas Feuring, Yoichi Hayashi: Solving fuzzy equations using evolutionary algorithms and neural nets. Soft Comput. 6(2): 116-123 (2002)
- [j19]James J. Buckley, Thomas Feuring, Yoichi Hayashi: Linear systems of first order ordinary differential equations: fuzzy initial conditions. Soft Comput. 6(6): 415-421 (2002)
- [j18]James J. Buckley, Thomas Feuring, Yoichi Hayashi: Solving fuzzy problems in operations research: inventory control. Soft Comput. 7(2): 121-129 (2002)
- 2001
- [j17]James J. Buckley, Thomas Feuring, Yoichi Hayashi: Fuzzy hierarchical analysis revisited. European Journal of Operational Research 129(1): 48-64 (2001)
- [j16]James J. Buckley, Thomas Feuring, Yoichi Hayashi: Fuzzy Queueing Theory Revisited. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9(5): 527-537 (2001)
- [j15]James J. Buckley, Thomas Feuring, Yoichi Hayashi: Multi-objective Fully Fuzzified Linear Programming. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9(5): 605-621 (2001)
- [j14]James J. Buckley, Thomas Feuring, Yoichi Hayashi: Intelligent Consultant. JACIII 5(2): 119-124 (2001)
- [j13]James J. Buckley, Thomas Feuring, Yoichi Hayashi: Fuzzy Difference Equations: The Initial Value Problem. JACIII 5(6): 315-325 (2001)
- [c8]Danuta Rutkowska, Robert Nowicki, Yoichi Hayashi: Parallel Processing by Implication-Based Neuro-Fuzzy Systems. PPAM 2001: 599-607
- 2000
- [j12]Yoichi Hayashi, Rudy Setiono, Katsumi Yoshida: A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders. Artificial Intelligence in Medicine 20(3): 205-216 (2000)
- [j11]Yoichi Hayashi, Rudy Setiono, Katsumi Yoshida: Learning M-of-N Concepts for Medical Diagnosis Using Neural Networks. JACIII 4(4): 294-301 (2000)
- [j10]Sushmita Mitra, Yoichi Hayashi: Neuro-fuzzy rule generation: survey in soft computing framework. IEEE Trans. Neural Netw. Learning Syst. 11(3): 748-768 (2000)
1990 – 1999
- 1999
- [j9]James J. Buckley, Thomas Feuring, Yoichi Hayashi: Multivariate Non-Linear Fuzzy Regression: An Evolutionary Algorithm Approach. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 7(2): 83-98 (1999)
- [j8]
- [j7]James J. Buckley, Thomas Feuring, Yoichi Hayashi: Fuzzy Geometry Database. JACIII 3(3): 164-170 (1999)
- [j6]James J. Buckley, Thomas Feuring, Yoichi Hayashi: Solving Fuzzy Problems in Operations Research. JACIII 3(3): 171-176 (1999)
- [j5]
- [j4]
- [j3]Ernest Czogala, Jacek Leski, Yoichi Hayashi: A Classifier Based on Neuro-Fuzzy Inference System Ernest. JACIII 3(4): 282-288 (1999)
- 1998
- [c7]Nikhil R. Pal, Kallol Banerjee, Yoichi Hayashi: SUM-PI Network: A New Multilayered Feed-Forward Network. ICONIP 1998: 687-690
- [c6]Thomas Feuring, James J. Buckley, Yoichi Hayashi: Adjusting fuzzy weights in fuzzy neural nets. KES (2) 1998: 402-406
- [c5]
- 1994
- [j2]Yoichi Hayashi, James J. Buckley: Approximations between fuzzy expert systems and neural networks. Int. J. Approx. Reasoning 10(1): 63-73 (1994)
- 1992
- [j1]Yoichi Hayashi, Hideto Ikeda: A structural analysis of database management system technology with some Japanese experience. Information & Management 22(6): 347-362 (1992)
- 1990
- [c4]Stephen I. Gallant, Yoichi Hayashi: A Neural Network Expert System with Confidence Measurements. IPMU 1990: 562-567
- [c3]Yoichi Hayashi: A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules. NIPS 1990: 578-584
1980 – 1989
- 1988
- [c2]S. Srinivasan, Pradip Dey, Yoichi Hayashi: A flexible interactive control structure for rule-based systems. ACM Conference on Computer Science 1988: 447-453
- [c1]Yoichi Hayashi, Masato Nakai, Pradip Dey: A parallel algorithm for multi-dimensional fuzzy reasoning - toward a parallel fuzzy production system. ACM Conference on Computer Science 1988: 731-733
Coauthor Index
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last updated on 2013-06-11 09:50 CEST by the dblp team