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Fuzzy Logic, Neural Networks, and Evolutionary Computation, Vol. 115 by Takeshi Furuhashi β€” book cover

Fuzzy Logic, Neural Networks, and Evolutionary Computation, Vol. 115

by Takeshi Furuhashi (Editor), Yoshiki Uchikawa
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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.

Synopsis

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.

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Book Details

Published
October 1, 2007
Publisher
Springer-Verlag New York, LLC
Pages
251
Format
Paperback
ISBN
9783540619888

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