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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Kohonen_layer:

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float * weights Pointer to the weights matrix.

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int winner_index Index value of the output, which is the winner.

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float win_distance The Euclidean distance of the winner weight vector from the input vector.

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int neighborhood_size The size of the neighborhood.

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Kohonen_layer(int, int, int) Constructor for the layer: inputs, outputs, and the neighborhood

size.

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~Kohonen_layer() Destructor.

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virtual void calc_out() The function to calculate the outputs; for the Kohonen layer this models

lateral competition.

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void randomize_weights() A function to initialize weights with random normal values.

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void update_neigh_size(nt) This function updates the neighborhood size with a new value.

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void update_weights(const float) This function updates the weights according to the training law

using the passed parameter, alpha.