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.

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 computa...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Furuhashi, Takeshi (Editor), Uchikawa, Yoshiki (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1996.
Edition:1st ed. 1996.
Series:Lecture Notes in Artificial Intelligence ; 1152
Springer eBook Collection.
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Table of Contents:
  • 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.