Fuzzy Logic, Neural Networks, and Evolutionary Computation: IEEE/Nagoya-University World Wisepersons Workshop Nagoya, Japan, November 14 - 15, 1995 Selected Papers: 1152 - Brossura

Brossura

ISBN 10: 3540619887 ISBN 13: 9783540619888

Casa editrice: Springer, 2009

Riassunto

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.

Su questo libro

Contenuti

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.

Dettagli dell?edizione

• Editore: Springer
• Data di pubblicazione: 2009
• ISBN 10: 3540619887
• ISBN 13: 9783540619888
• Rilegatura: Copertina flessibile
• Lingua: Inglese
• Numero di pagine: 260
• Redattore: Furuhashi Takeshi