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initial cleaning

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Shin
2014-12-10 19:57:54 +01:00
parent aab9a073e9
commit 5d0fa9301b
38 changed files with 906 additions and 583 deletions
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50
tests/nn-test.cpp Normal file
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#include "../src/NeuronNetwork/FeedForward"
#include "../src/NeuronNetwork/FeedForward"
#include "../src/NeuronNetwork/Learning/BackPropagation"
#include <iostream>
#include <vector>
//typedef Shin::NeuronNetwork::Problem X;
class X: public Shin::NeuronNetwork::Problem
{
public:
X(const X& a) :Problem(a) {}
X(const std::vector<float> &a):Problem() {for(auto q:a){ data.push_back(q);}}
protected:
};
int main(int argc,char**)
{
srand(time(NULL));
std::vector<Shin::NeuronNetwork::Solution> s;
std::vector<X> p;
p.push_back(X(std::vector<float>({0,0})));
s.push_back(Shin::NeuronNetwork::Solution(std::vector<float>({0.4,0.3,0.2,0.1})));
p.push_back(X(std::vector<float>({0,0.5})));
s.push_back(Shin::NeuronNetwork::Solution(std::vector<float>({0.6,0.3,0.2,0.5})));
p.push_back(X(std::vector<float>({0.4,0.5})));
s.push_back(Shin::NeuronNetwork::Solution(std::vector<float>({0.4,0.4,0.2,0.8})));
Shin::NeuronNetwork::FeedForward q({2,4,4,4},1.0);
Shin::NeuronNetwork::Learning::BackPropagation bp(q);
bp.setLearningCoeficient(0.2);
for(int i=0;i<3;i++)
{
Shin::NeuronNetwork::Solution sp =q.solve(p[i]);
std::cerr << sp[0] << "," << sp[1] << "," << sp[2] << "," << sp[3] << "\n";
}
for(int i=0;i<4;i++)
{
for(int j=0;j<3;j++)
{
bp.teach(p[j],s[j]);
}
}
std::cerr << "XXXXXXXXXXXX\n";
for(int i=0;i<3;i++)
{
Shin::NeuronNetwork::Solution sp =q.solve(p[i]);
std::cerr << sp[0] << "," << sp[1] << "," << sp[2] << "," << sp[3] << "\n";
}
}