C++ Neural Networks and Fuzzy Logic: Preface

C++ Neural Networks and Fuzzy Logic

by Valluru B. Rao

MTBooks, IDG Books Worldwide, Inc.

ISBN: 1558515526   Pub Date: 06/01/95

Previous Table of Contents Next

Chapter 17

Further Applications

Introduction

In this chapter, we present the outlines of some applications of neural networks and fuzzy logic. Most of the

applications fall into a few main categories according to the paradigms they are based on. We offer a sampling

of topics of research as found in the current literature, but there are literally thousands of applications of

neural networks and fuzzy logic in science, technology and business with more and more applications added

as time goes on.

Some applications of neural networks are for adaptive control. Many such applications benefit from adding

fuzziness also. Steering a car or backing up a truck with a fuzzy controller is an example. A large number of

applications are based on the backpropagation training model. Another category of applications deals with

classification. Some applications based on expert systems are augmented with a neural network approach.

Decision support systems are sometimes designed this way. Another category is made up of optimizers, whose

purpose is to find the maximum or the minimum of a function.

NOTE:  You will find other neural network applications related to finance presented toward

the end of Chapter 14.