#include #include "fann.h" int main() { const unsigned int num_layers = 3; const unsigned int num_neurons_hidden = 96; const float desired_error = (const float) 0.001; struct fann *ann; struct fann_train_data *train_data, *test_data; unsigned int i = 0; printf("Creating network.\n"); train_data = fann_read_train_from_file("../benchmarks/datasets/robot.train"); ann = fann_create_standard(num_layers, train_data->num_input, num_neurons_hidden, train_data->num_output); printf("Training network.\n"); fann_set_training_algorithm(ann, FANN_TRAIN_INCREMENTAL); fann_set_learning_momentum(ann, 0.4); fann_train_on_data(ann, train_data, 3000, 10, desired_error); printf("Testing network.\n"); test_data = fann_read_train_from_file("../benchmarks/datasets/robot.test"); fann_reset_MSE(ann); for(i = 0; i < fann_length_train_data(test_data); i++) { fann_test(ann, test_data->input[i], test_data->output[i]); } printf("MSE error on test data: %f\n", fann_get_MSE(ann)); printf("Saving network.\n"); fann_save(ann, "robot_float.net"); printf("Cleaning up.\n"); fann_destroy_train(train_data); fann_destroy_train(test_data); fann_destroy(ann); return 0; }