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 8

BAM: Bidirectional Associative Memory

Introduction

The Bidirectional Associative Memory (BAM) model has a neural network of two layers and is fully connected

from each layer to the other. That is, there are feedback connections from the output layer to the input layer.

However, the weights on the connections between any two given neurons from different layers are the same.

You may even consider it to be a single bidirectional connection with a single weight. The matrix of weights

for the connections from the output layer to the input layer is simply the transpose of the matrix of weights for

the connections between the input and output layer. If we denote the matrix for forward connection weights by


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