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Introduction to Neuro-fuzzy Systems (Advances in Intelligent and Soft Computing) (Paperback)

by Robert Fuller (Author) "Fuzzy sets were introduced by Zadeh [235] as a means of representing and manipulating data that was not precise, but rather fuzzy ..." (more)

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Product details

Paperback: 289 pages
Publisher: Physica-Verlag Heidelberg; illustrated edition edition (17 Nov 1999)
Language English
ISBN-10: 3790812560
ISBN-13: 978-3790812565
Product Dimensions: 23.4 x 15.6 x 1.6 cm
Average Customer Review: No customer reviews yet. Be the first.
Amazon.co.uk Sales Rank: 2,743,347 in Books (See Bestsellers in Books)

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Product Description

Product Description
This book contains introductory material to neuro-fuzzy systems. Its main purpose is to explain the information processing in mostly-used fuzzy inference systems, neural networks and neuro-fuzzy systems. More than 180 figures and a large number of (numerical) exercises (with solutions) have been inserted to explain the principles of fuzzy, neural and neuro-fuzzy systems. Also the mathematics applied in the models is carefully explained, and in many cases exact computational formulas have been derived for the rules in error correction learning procedures.Numerous models treated in the book will help the reader to design his own neuro-fuzzy system for his specific (managerial, industrial, financial) problem. The book can serve as a textbook for students in computer and management sciences who are interested in adaptive technologies.

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Fuzzy sets were introduced by Zadeh [235] as a means of representing and manipulating data that was not precise, but rather fuzzy. Read the first page

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Fuzzy Neural Intelligent Systems...

Although fuzzy systems and neural networks are central to the field of... Read more
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