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https://github.com/lxsang/antd-lua-plugin
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85 lines
2.2 KiB
C
85 lines
2.2 KiB
C
/*
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Fast Artificial Neural Network Library (fann)
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Copyright (C) 2003-2016 Steffen Nissen (steffen.fann@gmail.com)
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This library is free software; you can redistribute it and/or
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modify it under the terms of the GNU Lesser General Public
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License as published by the Free Software Foundation; either
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version 2.1 of the License, or (at your option) any later version.
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This library is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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Lesser General Public License for more details.
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You should have received a copy of the GNU Lesser General Public
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License along with this library; if not, write to the Free Software
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Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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*/
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#include <stdio.h>
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#include "fann.h"
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int main()
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{
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fann_type *calc_out;
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unsigned int i;
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int ret = 0;
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struct fann *ann;
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struct fann_train_data *data;
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printf("Creating network.\n");
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#ifdef FIXEDFANN
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ann = fann_create_from_file("xor_fixed.net");
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#else
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ann = fann_create_from_file("xor_float.net");
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#endif
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if(!ann)
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{
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printf("Error creating ann --- ABORTING.\n");
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return -1;
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}
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fann_print_connections(ann);
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fann_print_parameters(ann);
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printf("Testing network.\n");
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#ifdef FIXEDFANN
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data = fann_read_train_from_file("xor_fixed.data");
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#else
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data = fann_read_train_from_file("xor.data");
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#endif
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for(i = 0; i < fann_length_train_data(data); i++)
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{
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fann_reset_MSE(ann);
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calc_out = fann_test(ann, data->input[i], data->output[i]);
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#ifdef FIXEDFANN
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printf("XOR test (%d, %d) -> %d, should be %d, difference=%f\n",
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data->input[i][0], data->input[i][1], calc_out[0], data->output[i][0],
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(float) fann_abs(calc_out[0] - data->output[i][0]) / fann_get_multiplier(ann));
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if((float) fann_abs(calc_out[0] - data->output[i][0]) / fann_get_multiplier(ann) > 0.2)
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{
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printf("Test failed\n");
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ret = -1;
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}
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#else
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printf("XOR test (%f, %f) -> %f, should be %f, difference=%f\n",
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data->input[i][0], data->input[i][1], calc_out[0], data->output[i][0],
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(float) fann_abs(calc_out[0] - data->output[i][0]));
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#endif
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}
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printf("Cleaning up.\n");
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fann_destroy_train(data);
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fann_destroy(ann);
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return ret;
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}
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