Fuzzy Logic and Neural Network Handbook

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Chi-hau Chen
McGraw-Hill, 1996 - Computers - 700 pages
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Fuzzy logic and neural networks, which are linked, have emerged as the keystone of developing intelligent computer systems with broad application throughout engineering and science. Neural nets allow them to better manage uncertainty. That combination gives the ability to solve many classes of problems more efficiently. This book deals with principles and algorithms, applications and architectures and systems.

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Contents

Learning Categorization Rule Formation and Prediction
1-3
JeanPaul Haton Universite Henri Poincare CRININRIANancy France chap
1-14
Reactive Control Using Fuzzy Logic Enrique H Ruspini 24 1
1-24
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