C++ Neural Networks and Fuzzy Logic: Preface

i

T

 Y

i

 are added together to get the

connection weight matrix. There are two basic operations with the elements of these vectors. They are

multiplication and addition of products. There is no conversion of the fit values before the encoding by the

fuzzy sets. The multiplication of elements is replaced by the operation of taking the minimum, and addition is

replaced by the operation of taking the maximum.

There are two methods for encoding. The method just described is what is called max–min composition. It is

used to get the connection weight matrix and also to get the outputs of neurons in the fuzzy associative

memory neural network. The second method is called correlation–product encoding. It is obtained the same

way as a BAM connection weight matrix is obtained. Max–min composition is what is frequently used in

practice, and we will confine our attention to this method.

C++ Neural Networks and Fuzzy Logic:Preface

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