
Fuzzy Logic, Neural Networks, and Evolutionary Computation
IEEE/Nagoya-University World Wisepersons Workshop, Nagoya, Japan, November 14 - 15, 1995, Selected Papers
Springer (Publisher)
Published on 6. November 1996
Book
Paperback/Softback
X, 250 pages
978-3-540-61988-8 (ISBN)
Description
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.
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.
More details
Series
Edition
1996 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
X, 250 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 15 mm
Weight
400 gr
ISBN-13
978-3-540-61988-8 (9783540619888)
DOI
10.1007/3-540-61988-7
Schweitzer Classification
Content
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.