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https://github.com/lxsang/antd-lua-plugin
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60 lines
1.9 KiB
C
60 lines
1.9 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, MA02111-1307USA
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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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const unsigned int num_layers = 3;
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const unsigned int num_neurons_hidden = 96;
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const float desired_error = (const float) 0.001;
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struct fann *ann;
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struct fann_train_data *train_data, *test_data;
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float momentum;
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train_data = fann_read_train_from_file("../../datasets/robot.train");
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test_data = fann_read_train_from_file("../../datasets/robot.test");
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for ( momentum = 0.0f; momentum < 0.7f; momentum += 0.1f )
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{
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printf("============= momentum = %f =============\n", momentum);
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ann = fann_create_standard(num_layers,
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train_data->num_input, num_neurons_hidden, train_data->num_output);
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fann_set_training_algorithm(ann, FANN_TRAIN_INCREMENTAL);
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fann_set_learning_momentum(ann, momentum);
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fann_train_on_data(ann, train_data, 2000, 500, desired_error);
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printf("MSE error on train data: %f\n", fann_test_data(ann, train_data));
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printf("MSE error on test data : %f\n", fann_test_data(ann, test_data));
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fann_destroy(ann);
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}
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fann_destroy_train(train_data);
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fann_destroy_train(test_data);
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return 0;
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}
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