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

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Chapter 5

A Survey of Neural Network Models

Neural Network Models

You were introduced in the preceding pages to the Perceptron model, the Feedforward network, and the

Hopfield network. You learned that the differences between the models lie in their architecture, encoding, and

recall. We aim now to give you a comprehensive picture of these and other neural network models. We will

show details and implementations of some networks in later chapters.

The models we briefly review in this chapter are the Perceptron, Hopfield, Adaline, Feed−Forward

Backpropagation, Bidirectional Associative Memory, Brain−State−in−a−Box, Neocognitron, Fuzzy

Associative Memory, ART1, and ART2. C++ implementations of some of these and the role of fuzzy logic in

some will be treated in the subsequent chapters. For now, our discussion will be about the distinguishing

characteristics of a neural network. We will follow it with the description of some of the models.