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MLP.tcc
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/*
Artificial Neural Networks Library - MLP implementation
Copyright (C) 2010 Arthur Nascimento <[email protected]>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program 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 General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include <math.h>
#include "MLP"
/* Activation function: sigmoid (float) */
template <>
float MLP<float>::sigmoid (float x)
{
return 1 / (1 + expf(-x));
}
template <>
float MLP<float>::dev_sigmoid (float x)
{
return sigmoid(x) * (1 - sigmoid(x));
}
/* Activation function: sigmoid (double) */
template <>
double MLP<double>::sigmoid (double x)
{
return 1 / (1 + exp(-x));
}
template <>
double MLP<double>::dev_sigmoid (double x)
{
return sigmoid(x) * (1 - sigmoid(x));
}
/* Activation function: sigmoid (long double) */
template <>
long double MLP<long double>::sigmoid (long double x)
{
return 1 / (1 + expl(-x));
}
template <>
long double MLP<long double>::dev_sigmoid (long double x)
{
return sigmoid(x) * (1 - sigmoid(x));
}
/* Activation function: hiperbolic tangent (float) */
template <>
float MLP<float>::tanh (float x)
{
return (expf(x * 2.0) - 1.0) / (expf(x * 2.0) + 1);
}
template <>
float MLP<float>::dev_tanh (float x)
{
return 1.0 - powf(tanh(x), 2.0);
}
/* Activation function: hiperbolic tangent (double) */
template <>
double MLP<double>::tanh (double x)
{
return (exp(x * 2.0) - 1.0) / (exp(x * 2.0) + 1);
}
template <>
double MLP<double>::dev_tanh (double x)
{
return 1.0 - pow(tanh(x), 2.0);
}
/* Activation function: hiperbolic tangent (long double) */
template <>
long double MLP<long double>::tanh (long double x)
{
return (expl(x * 2.0) - 1.0) / (expl(x * 2.0) + 1);
}
template <>
long double MLP<long double>::dev_tanh (long double x)
{
return 1.0 - powl(tanh(x), 2.0);
}
/* vim: set syntax=cpp ts=8: */