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

✍ Scribed by Jyh-Shing Roger Jang, Chuen-Tsai Sun, Eiji Mizutani

Publisher: Prentice Hall
Year: 1997
Tongue: English
Leaves: 640
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ 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.

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