Downloads: Artificial Neural Networks made easy with the FANN library

/*
Fast Artificial Neural Network Library (fann)
Copyright (C) 2003 Steffen Nissen (lukesky@diku.dk)

This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.

This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
*/

#include <stdio.h>

#include "fann.h"

int main()
{
	fann_type *calc_out;
	unsigned int i;
	int ret = 0;

	struct fann *ann;
	struct fann_train_data *data;

	printf("Creating network.\n");

#ifdef FIXEDFANN
	ann = fann_create_from_file("xor_fixed.net");
#else
	ann = fann_create_from_file("xor_float.net");
#endif
	
	if(!ann){
		printf("Error creating ann --- ABORTING.\n");
		return 0;
	}

	printf("Testing network.\n");

#ifdef FIXEDFANN
	data = fann_read_train_from_file("xor_fixed.data");
#else
	data = fann_read_train_from_file("xor.data");
#endif

	for(i = 0; i < data->num_data; i++){
		fann_reset_MSE(ann);
		calc_out = fann_test(ann, data->input[i], data->output[i]);
#ifdef FIXEDFANN
		printf("XOR test (%d, %d) -> %d, should be %d, difference=%f\n",
		data->input[i][0], data->input[i][1], *calc_out, data->output[i][0], (float)fann_abs(*calc_out - data->output[i][0])/fann_get_multiplier(ann));

		if((float)fann_abs(*calc_out - data->output[i][0])/fann_get_multiplier(ann) > 0.2){
			printf("Test failed\n");
			ret = -1;
		}
#else
		printf("XOR test (%f, %f) -> %f, should be %f, difference=%f\n",
		data->input[i][0], data->input[i][1], *calc_out, data->output[i][0], (float)fann_abs(*calc_out - data->output[i][0]));
#endif
	}

	printf("Cleaning up.\n");
	fann_destroy_train(data);
	fann_destroy(ann);

	return ret;
}

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About the Author

Software Developer's Journal

Publisher

Poland

Member

Software Developer's Journal (formerly Software 2.0) is a magazine for professional programmers and developers publishing news from the software world and practical articles presenting very interesting ready programming solutions. To read more

Neural networks are typically associated with highly specialised applications, developed only by select groups of experst. This misconception has had a highly negative effect on its popularity. Hopefully, the FANN library will help fill this gap.

Type	Article
Licence
First Posted	16 Feb 2006
Views	96,480
Bookmarked	149 times

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