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

Jyh-Shing Roger Jang (Author), Chuen-Tsai Sun (Author), Eiji Mizutani (Author)
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Book Description

0132610663 978-0132610667 September 26, 1997 1

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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Editorial Reviews

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.

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.

Product Details

  • Paperback: 614 pages
  • Publisher: Prentice Hall; 1 edition (September 26, 1997)
  • Language: English
  • ISBN-10: 0132610663
  • ISBN-13: 978-0132610667
  • Product Dimensions: 9.5 x 7.3 x 1.2 inches
  • Shipping Weight: 2.2 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #392,627 in Books (See Top 100 in Books)

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14 of 15 people found the following review helpful:
5.0 out of 5 stars This is a very good introductory text on the subject., March 28, 2000
This review is from: Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence (Paperback)
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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2 of 3 people found the following review helpful:
5.0 out of 5 stars Perfect !, December 25, 2001
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This review is from: Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence (Paperback)
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.
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