C++ Neural Networks and Fuzzy Logic: Preface

FAM Neural Network

The neural network for a fuzzy associative memory has an input and an output layer, with full connections in

both directions, just as in a BAM neural network. Figure 9.1 shows the layout. To avoid cluttering, the figure

shows the network with three neurons in field A and two neurons in field B, and only some of the connection

weights. The general case is analogous.

Figure 9.1

  Fuzzy associative memory neural network.

This figure is the same as Figure 8.1 in Chapter 8, since the model is the same, except that

fuzzy vectors are used with the current model.

Encoding

Encoding for fuzzy associative memory systems is similar in concept to the encoding process for bidirectional

associative memories, with some differences in the operations involved. In the BAM encoding, bipolar

versions of binary vectors are used just for encoding. Matrices of the type X