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＜電子ブック＞
Fuzzy Logic, Neural Networks, and Evolutionary Computation : IEEE/Nagoya-University World Wisepersons Workshop, Nagoya, Japan, November 14 - 15, 1995, Selected Papers / edited by Takeshi Furuhashi, Yoshiki Uchikawa
(Lecture Notes in Artificial Intelligence. ISSN:29459141 ; 1152)

版	1st ed. 1996.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	1996
本文言語	英語
大きさ	X, 250 p : online resource
著者標目	Furuhashi, Takeshi editor Uchikawa, Yoshiki editor SpringerLink (Online service)
件　名	LCSH:Mathematical logic LCSH:Artificial intelligence LCSH:Machine theory LCSH:Computer science FREE:Mathematical Logic and Foundations FREE:Artificial Intelligence FREE:Formal Languages and Automata Theory FREE:Theory of Computation
一般注記	The design of hybrid fuzzy/evolutionary multiobjective optimization algorithms -- Structure identification of acquired knowledge in fuzzy inference by genetic algorithms -- A fuzzy classifier system that generates linguistic rules for pattern classification problems -- Numerical coding and unfair average crossover in GA for fuzzy rule extraction in dynamic environments -- Acquisition of fuzzy rules from DNA coding method -- Experimental study on acquisition of optimal action for autonomous mobile robot to avoid moving multiobstacles -- New approaches on structure identification of fuzzy models: Case study in an electro-mechanical system -- A generic fuzzy neuron and its application to motion estimation -- Fizzy-Fuzzy inferencing -- Multi-layer perceptron design using Delaunay triangulations -- A genetic algorithm for planning coal purchase of a real electric power plant -- “CAM-Brain? ATR's billion neuron artificial brain project a three year progress report This book includes a selection of twelve carefully revised papers chosen from the papers accepted for presentation at the 4th IEEE/Nagoya-University World Wisepersons Workshop held in Nagoya in November 1995. The combining of the technologies of fuzzy logic, neural networks, and evolutionary computation is expected to open up a new paradigm of machine learning for the realization of human-like information generating systems. The excellent papers presented are organized in sections on fuzzy and evolutionary computation, fuzzy and learning automata, fuzzy and neural networks, genetic algorithms, and CAM-brain HTTP:URL=https://doi.org/10.1007/3-540-61988-7

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