C++ Neural Networks and Fuzzy Logic: Preface

•  Functions compr1 and compr2 in the network class verify if the potential pair is indeed an

associated pair and set the proper value of the flag mentioned above.

•  Functions comput1 and comput2 in the network class carry out the calculations to get the

activations and then find the output vector, in the proper directions of the bidirectional associative

memory network.

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 IDG Books Worldwide, Inc.

C++ Neural Networks and Fuzzy Logic:Preface

Program Details and Flow

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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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Program Example for BAM

For our illustration run, we provided for six neurons in the input layer and five in the output layer. We used

three pairs of exemplars for encoding. We used two additional input vectors, one of which is the complement

of the X of an exemplar pair, after the encoding is done, to see what association will be established in these

cases, or what recall will be made by the BAM network.