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📄 xor_test.c

📁 一个功能强大的神经网络分析程序
💻 C
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/*Fast Artificial Neural Network Library (fann)Copyright (C) 2003 Steffen Nissen (lukesky@diku.dk)This library is free software; you can redistribute it and/ormodify it under the terms of the GNU Lesser General PublicLicense as published by the Free Software Foundation; eitherversion 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 ofMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNULesser General Public License for more details.You should have received a copy of the GNU Lesser General PublicLicense along with this library; if not, write to the Free SoftwareFoundation, 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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