Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Price: $28.06 FREE for Members
Type: eBook
Released: 1997
Publisher: Prentice Hall
Page Count: 640
Format: djvu
Language: English
ISBN-10: 0132610663
ISBN-13: 9780132610667
User Rating: 5.0000 out of 5 Stars! (2 Votes)

Neuro-Fuzzy Modeling and Soft Computing places particular emphasis on the theoretical aspects of covered methodologies, as well as empirical observations and verifications of various applications in practice. Neuro-Fuzzy Modeling and Soft Computing is oriented toward methodologies that are likely to be of practical use. It includes exercises, some of which involve MATLAB programming tasks to provide readers with hands-on programming experiences for practical problem-solving. Each chapter also includes a reference list to the research literature so that readers may pursue topics in greater depth. This book is suitable as a self-study guide by researchers who want to learn basic and advanced neuro-fuzzy and soft computing within the framework of computational intelligence.

From the Publisher

This text provides the first comprehensive treatment of the methodologies underlying neuro-fuzzy and soft computing, an evolving branch within the scope of computational intelligence. The book places equal emphasis on theoretical aspects of covered methodologies, empirical observations and verifications of various applications in practice.

Tamer Abdelazim Mellik | 5 out of 5 Stars!
25/12/2001

Perfect !

A comprehensive guide concerned with understanding basics, modeling, analyzing Neuro-Fuzzy Networks. The examples and the illustraions are clear with a lot of Matlab codes. I recommend this book.

Amit Konar | 5 out of 5 Stars!
28/03/2000

This is a very good introductory text on the subject.

The book provides a good overview to a wide disciplines of knowledge including fuzzy sets, neural nets, genetic algorithms and their composite use for developing high performance intelligent systems.The principles are explained with many examples and illustrations. The book is highly readable for its simplicity in presentation style. It is useful to anyone interested in this broad discipline.

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