neurontest.cc File Reference

#include <iostream>
#include "SigmoidalNeuron.h"
#include "InputNeuron.h"
#include "UniformRNG.h"
#include <vector>
#include <cmath>

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Functions
int	main (void)

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Function Documentation

int main

(

void

)

Definition at line 9 of file neurontest.cc.

References SigmoidalNeuron::bipolar, UniformRNG::GetNumber(), GeneralNeuron::GetOutput(), SigmoidalNeuron::identity, iterations, SigmoidalNeuron::SetBias(), SigmoidalNeuron::SetInput(), SigmoidalNeuron::SetType(), and SigmoidalNeuron::SetWeights().

{
        const int iterations = 100;
        SigmoidalNeuron TestNeuron;
        double testinput1, weight1;
        double testinput2, weight2;
        double bias, result;
        
        GeneralLinearCombiner::tinvector testiv;
        testiv.push_back(boost::shared_ptr<GeneralNeuron>(new InputNeuron(testinput1)));
        testiv.push_back(boost::shared_ptr<GeneralNeuron>(new InputNeuron(testinput2)));
        TestNeuron.SetType(SigmoidalNeuron::identity);
        TestNeuron.SetInput(testiv);
        
        UniformRNG Random;
        for (int i = 0; i < iterations; ++i)
        {
                weight1 = Random.GetNumber();
                weight2 = Random.GetNumber();
                TestNeuron.SetWeights().at(0) = weight1;
                TestNeuron.SetWeights().at(1) = weight2;
                bias =  Random.GetNumber();
                TestNeuron.SetBias(bias);
                testinput1 =  Random.GetNumber();
                testinput2 =  Random.GetNumber();
                result = bias + weight1 * testinput1 + weight2 * testinput2;
                cout << "Output: " << TestNeuron.GetOutput() << " Correct: " << result << endl;
        }
        
        TestNeuron.SetType(SigmoidalNeuron::bipolar);
        TestNeuron.SetInput(testiv);
        for (int i = 0; i < iterations; ++i)
        {
                weight1 = Random.GetNumber();
                weight2 = Random.GetNumber();
                TestNeuron.SetWeights().at(0) = weight1;
                TestNeuron.SetWeights().at(1) = weight2;
                bias =  Random.GetNumber();
                TestNeuron.SetBias(bias);
                testinput1 =  Random.GetNumber();
                testinput2 =  Random.GetNumber();
                result = tanh(0.5*(bias + weight1 * testinput1 + weight2 * testinput2));
                cout << "Output: " << TestNeuron.GetOutput() << " Correct: " << result << endl;
        }
        
}

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