C++ Neural Networks and Fuzzy Logic: Preface


C++ Neural Networks and Fuzzy Logic



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C neural networks and fuzzy logic

C++ Neural Networks and Fuzzy Logic

by Valluru B. Rao

MTBooks, IDG Books Worldwide, Inc.



ISBN: 1558515526   Pub Date: 06/01/95

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Chapter 16

Applications of Fuzzy Logic

Introduction

Up until now, we have discussed how fuzzy logic could be used in conjunction with neural networks: We

looked at a fuzzifier in Chapter 3 that takes crisp input data and creates fuzzy outputs, which then could be

used as inputs to a neural network. In chapter 9, we used fuzzy logic to create a special type of associative

memory called a FAM (fuzzy associative memory). In this chapter, we focus on applications of fuzzy logic by

itself. This chapter starts with an overview of the different types of application areas for fuzzy logic. We then

present two application domains of fuzzy logic: fuzzy control systems, and fuzzy databases and quantification.

In these sections, we also introduce some more concepts in fuzzy logic theory.




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