Fuzzy Logic, Neural Networks, and Evolutionary Computation: IEEE/Nagoya-University World Wisepersons Workshop, Nagoya, Japan, November 14 - 15, 1995, Selected Papers / Edition 1

Fuzzy Logic, Neural Networks, and Evolutionary Computation: IEEE/Nagoya-University World Wisepersons Workshop, Nagoya, Japan, November 14 - 15, 1995, Selected Papers / Edition 1

5.0 1
by Takeshi Furuhashi
     
 

ISBN-10: 3540619887

ISBN-13: 9783540619888

Pub. Date: 12/06/1996

Publisher: Springer Berlin Heidelberg

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…  See more details below

Overview

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.

Product Details

ISBN-13:
9783540619888
Publisher:
Springer Berlin Heidelberg
Publication date:
12/06/1996
Series:
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence Series, #1152
Edition description:
1996
Pages:
250
Product dimensions:
0.55(w) x 6.14(h) x 9.21(d)

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.

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