Some pencil notes and underlining found scattered throughout the text; previous owner's signature has been covered up with white-out on the first free end page. Binding is sturdy. Covers show some light wear around the corners and at the head and base of the spine. International/Priority shipping at cost. 614pp.

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Bibliographic Details

Title

Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence

Publisher

Pearson College Div

Publication Date

1997

Language

English

ISBN 10

0132610663

ISBN 13

9780132610667

Binding

Paperback

Condition

Good

Dust Jacket Condition

None Issued

Seller catalogs

About this title

Synopsis

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 Back Cover

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.

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