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Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms

IEEE/Nagoya-University World Wisepersons Workshop, Nagoya, Japan, August 9 - 10, 1994. Selected Papers

By: Takeshi Furuhashi (Editor)

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Paperback | 15 November 1995

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240 Pages

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23.39 x 15.6 x 1.3

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This book presents 14 rigorously reviewed revised papers selected from more than 50 submissions for the 1994 IEEE/ Nagoya-University World Wisepersons Workshop, WWW'94, held in August 1994 in Nagoya, Japan.
The combination of approaches based on fuzzy logic, neural networks and genetic algorithms are expected to open a new paradigm of machine learning for the realization of human-like information processing systems. The first six papers in this volume are devoted to the combination of fuzzy logic and neural networks; four papers are on how to combine fuzzy logic and genetic algorithms. Four papers investigate challenging applications of fuzzy systems and of fuzzy-genetic algorithms.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Programming & Software Development Algorithms & Data Structures Computer Science Artificial Intelligence Neural Networks & Fuzzy Systems Reference, Information & Interdisciplinary Subjects Research & Information Information theory Cybernetics & Systems Theory Mathematics

Applied Mathematics Fuzzy Set Theory Mathematical Theory of Computation

Fuzzy Associative Memory System and Its Application to Multi-Modal Interface	p. 1
Hybrid Connectionist Fuzzy Systems for Speech Recognition and the use of Connectionist Production Systems	p. 19
Fuzzy Gaussian Potential Neural Networks Using a Functional Reasoning	p. 34
Recurrent Fuzzy Logic Using Neural Network	p. 48
Information Aggregating Networks based on Extended Sugeno's Fuzzy Integral	p. 56
A Neuro-Fuzzy Architecture for High Performance Classification	p. 67
Investigation of Stability and Robustness of a Fuzzy Traction Control System	p. 85
Knowledge-Based Rules for Control of the Sake (Ginjoshu) Making Process and Their Application in Fuzzy Control	p. 101
A Framework for Studying the Effects of Dynamic Crossover, Mutation, and Population Sizing in Genetic Algorithms	p. 111
Unsupervised/Supervised Learning for RBF-Fuzzy System - Adaptive Rules, Membership Functions and Hierarchical Structure by Genetic Algorithm	p. 127
Genetic Algorithms for the Development of Fuzzy Controllers for Mobile Robots	p. 148
A New Approach to Genetic Based Machine Learning and an Efficient Finding of Fuzzy Rules - Proposal of Nagoya Approach	p. 173
A Neuro-Money Recognition Using Optimized Masks by GA	p. 190
Genetic-Fuzzy Systems for Financial Decision Making	p. 202
Table of Contents provided by Blackwell. All Rights Reserved.

Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms

IEEE/Nagoya-University World Wisepersons Workshop, Nagoya, Japan, August 9 - 10, 1994. Selected Papers

At a Glance

Paperback

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