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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Associative Memory Models and One−Shot Learning

The Hopfield memory, Bidirectional Associative memory and Fuzzy Associative memory are all

unsupervised networks that perform pattern completion, or pattern association. That is, with corrupted or

missing information, these memories are able to recall or complete an expected output. Gallant calls the

training method used in these networks as one−shot learning, since you determine the weight matrix as a

function of the completed patterns you wish to recall just once. An example of this was shown in Chapter 4

with determination of weights for the Hopfield memory.