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NeuronLogistic.cpp 3.06 KiB
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//
// Created by fluffymoo on 11.6.18.
//

#include "NeuronLogistic.h"
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NeuronLogistic_d2::NeuronLogistic_d2( double * b ) {
    this->bias = b;
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double NeuronLogistic_d2::activate( double x ) {
    //(e^(b + x) (e^b - e^x))/(e^b + e^x)^3
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    double b = 0.0;
    if( this->bias ){
        b = *this->bias;
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    double ex = std::pow(E, x);
    double eb = std::pow(E, b);
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    return (eb*ex*(eb - ex))/((eb + ex)*(eb + ex)*(eb + ex));
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double NeuronLogistic_d2::activation_function_eval_derivative_bias( double x ) {
    //-(e^(b + x) (-4 e^(b + x) + e^(2 b) + e^(2 x)))/(e^b + e^x)^4
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    double b = 0.0;
    if( this->bias ){
        b = *this->bias;
    }
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    return  -(eb*ex*(-4*eb*ex + eb*eb +ex*ex))/((eb + ex)*(eb + ex)*(eb + ex)*(eb + ex));
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double NeuronLogistic_d2::activation_function_eval_derivative( double x ) {
    //(e^(b + x) (-4 e^(b + x) + e^(2 b) + e^(2 x)))/(e^b + e^x)^4
    return -this->activation_function_eval_derivative_bias( x );
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NeuronLogistic* NeuronLogistic_d2::get_derivative() {
    //TODO maybe not the best way
    return nullptr;
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NeuronLogistic_d1::NeuronLogistic_d1( double * b ) {
    this->bias = b;
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double NeuronLogistic_d1::activate( double x ) {
    //e^(b - x)/(e^(b - x) + 1)^2
    double b = 0.0;
    if( this->bias ){
        b = *this->bias;
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    double ex = std::pow(E, x);
    double eb = std::pow(E, b);
    double d = (eb/ex);
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    return d/((d + 1)*(d + 1));
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double NeuronLogistic_d1::activation_function_eval_derivative_bias( double x ) {
    //(e^(b + x) (e^x - e^b))/(e^b + e^x)^3
    double b = 0.0;
    if( this->bias ){
        b = *this->bias;
    }
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    double ex = std::pow(E, x);
    double eb = std::pow(E, b);
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    return (eb*ex* (ex - eb))/((eb + ex)*(eb + ex)*(eb + ex));
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double NeuronLogistic_d1::activation_function_eval_derivative( double x ) {
    //(e^(b + x) (e^b - e^x))/(e^b + e^x)^3
    return -this->activation_function_eval_derivative_bias( x );
}
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NeuronLogistic* NeuronLogistic_d1::get_derivative( ) {
    //(e^(b + x) (e^b - e^x))/(e^b + e^x)^3
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    output = new NeuronLogistic_d2( this->bias );
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NeuronLogistic::NeuronLogistic( double * b ) {
    this->bias = b;
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double NeuronLogistic::activate( double x ) {
    //(1 + e^(-x + b))^(-1)
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    double b = 0.0;
    if( this->bias ){
        b = *this->bias;
    }
    double ex = std::pow(E, b - x);
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    return std::pow(1.0 + ex, -1);
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double NeuronLogistic::activation_function_eval_derivative_bias( double x ) {
    //-e^(b - x)/(e^(b - x) + 1)^2
    double b = 0.0;
    if( this->bias ){
        b = *this->bias;
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    double ex = std::pow(E, b - x);
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    return -ex/((ex + 1)*(ex + 1));
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double NeuronLogistic::activation_function_eval_derivative( double x ) {
    //e^(b - x)/(e^(b - x) + 1)^2
    return -this->activation_function_eval_derivative_bias( x );
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NeuronLogistic* NeuronLogistic::get_derivative( ) {
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    output = new NeuronLogistic_d1( this->bias );