Fuzzy and Neural: Interactions and Applications / Edition 1

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Overview

The book can be broken down into two basic parts: (1) Chapter 3 through 6 the main ingredient is a neural net; and (2) Chapter 7 through 10 are about fuzzy neural nets. The chapters on (layered, feedforward) neural nets include using neural nets to approximate fuzzy systems, to equal fuzzy systems and to solve fuzzy problems. The chapters on fuzzy neural nets focus on using them to approximate fuzzy systems or equal fuzzy systems. The topic of neural nets, fuzzy systems and fuzzy neural nets are brought together in Chapter 11 with the design of a fuzzy teaching machine whose inputs/outputs are verbal statements.

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Product Details

  • ISBN-13: 9783790811704
  • Publisher: Physica-Verlag HD
  • Publication date: 3/5/1999
  • Series: Studies in Fuzziness and Soft Computing Series , #25
  • Edition description: 1999
  • Edition number: 1
  • Pages: 162
  • Product dimensions: 0.50 (w) x 9.21 (h) x 6.14 (d)

Table of Contents

1 Introduction 1
2 Fuzzy Sets and Fuzzy Functions 3
3 Neural Nets 21
4 First Approximation Results 35
5 Hybrid Neural Nets 49
6 Neural Nets Solve Fuzzy Problems 65
7 Fuzzy Neural Nets 77
8 Second Approximation Results 97
9 Hybrid Fuzzy Neural Nets 111
10 Applications of Hybrid Fuzzy Neural Nets and Fuzzy Neural Nets 119
11 Fuzzy Teaching Machine 133
12 Summary, Future Research and Conclusions 149
Index 159
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