Jyh-Shing Roger Jang - Neuro-Fuzzy and Soft Computing

Intended for use in courses on computational intelligence at either the college senior or first-year graduate level.

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.

The book provides a good overview of 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.

This textbook is clearly written and includes many easy to follow examples. The Matlab software (available on the author's website) is indispensable in order to really understand the concepts.

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