Introduction to Neuro-Fuzzy Systems, 2000th Edition by Robert Fuller - ISBN: 9783790812565
Paperback
Fuzzy sets were introduced by Zadeh (1965) as a means of representing and manipulating data that was not precise, but rather fuzzy. • In fuzzy logic, knowledge is interpreted a collection of elastic or, equivalently, fuzzy constraint on a collection of variables.

Introduction to Neuro-Fuzzy Systems, 2000th Edition

  • Paperback

    289 pages

  • Release Date

    16 November 1999

Summary

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.

Book Details

ISBN-13:9783790812565
ISBN-10:3790812560
Author:Robert Fuller
Publisher:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:Physica-Verlag GmbH & Co
Format:Paperback
Number of Pages:289
Edition:2000th
Release Date:16 November 1999
Weight:960g
Dimensions:155mm x 235mm
Series:Advances in Intelligent and Soft Computing
A-Format
B-Format
C-Format
Introduction to Neuro-Fuzzy Systems, 2000th Edition by Robert Fuller - ISBN: 9783790812565
155 × 235 mm
A4
mm / in

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