NNF – Neural Net Framework

An high speed implementation of feed-forward neural nets

Functions reference

void NNF_Init(NNF_NeuralNet* net, int layrs, int neurs[], int range); //initializes the neural net
//net is a pointer to the neural net
//layrs is the number of layers in the net
//neurs[] is the array of the neurons (its size must correspond to the number of layers)
//range is the limit for random weights generated during the initialization

void NNF_Load(NNF_NeuralNet* net, FILE* loadFile); //initializes the neural net loading it from a file
//net is a pointer to the neural net
//loadFile is a pointer to a text file, usually opened with fopen("filename","r")

void NNF_Save(NNF_NeuralNet* net, FILE* saveFile); //saves the neural net configuration on a file
//net is a pointer to the neural net
//saveFile is a pointer to a text file, usually opened with fopen("filename","w")

void NNF_Reset(NNF_NeuralNet* net, int range); //resets the weights of the neural net
//net is a pointer to the neural net

//range is the limit for random weights

float* NNF_Execute(NNF_NeuralNet* net, float input[]); //executes the neural net with the given input
//net is a pointer to the neural net
//input[] is the array of the input (its size must correspond to the number of neurons
//in the first layer)
//return value is an array with the calculated output (its size corresponds to the number
//of neurons in the last layer

void NNF_BackPropagate(NNF_NeuralNet* net, float desired[]); //teaches the neural net associating the desired values with the given output
//net is a pointer to the neural net
//desired[] is the array of the desired output (its size must correspond to the number of neurons in the last layer

void NNF_Delete(NNF_NeuralNet* net); //deletes the neural net; calls free() for all the dinamically allocated memory
//call this function when you don't need the net anymore

Copyright (C) 2005 by Alessandro Presta