C++ Neural Networks and Fuzzy Logic: Preface

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void list_weights() This function can be used to list the weight matrix.

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void list_outputs() This function is used to write outputs to the output file.

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float get_win_dist() Returns the Euclidean distance between the winner weight vector and the

input vector.

Kohonen_network:

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layer *layer_ptr[2] Pointer array; element 0 points to the input layer, element 1 points to the

Kohonen layer.

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int layer_size[2] Array of layer sizes for the two layers.

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int neighborhood_size The current neighborhood size.

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Kohonen_network() Constructor.

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~Kohonen_network() Destructor.

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void get_layer_info() Gets information about the layer sizes.

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void set_up_network(int) Connects layers and sets up the Kohonen map.

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void randomize_weights() Creates random normalized weights.

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void update_neigh_size(int) Changes the neighborhood size.

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void update_weights(const float) Performs weight update according to the training law.