77 lines
1.8 KiB
C++
77 lines
1.8 KiB
C++
#include "../src/NeuronNetwork/FeedForwardQuick"
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#include "../src/NeuronNetwork/Learning/BackPropagation"
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#include <iostream>
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#include <vector>
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class X: public Shin::NeuronNetwork::Problem
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{
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public:
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X(const X& a) :q(a.q) {}
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X(const std::vector<bool> &a):q(a) {}
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std::vector<bool> representation() const
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{
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return q;
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}
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protected:
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std::vector<bool> q;
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};
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int main()
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{
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for (int test=0;test<2;test++)
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{
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Shin::NeuronNetwork::FeedForwardNetworkQuick q({2,40,1});
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Shin::NeuronNetwork::Learning::BackPropagation b(q);
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srand(time(NULL));
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std::vector<Shin::NeuronNetwork::Solution*> s;
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std::vector<Shin::NeuronNetwork::Problem*> p;
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s.push_back(new Shin::NeuronNetwork::Solution(std::vector<double>({0})));
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p.push_back(new X(std::vector<bool>({0,0})));
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s.push_back( new Shin::NeuronNetwork::Solution(std::vector<double>({1})));
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p.push_back( new X(std::vector<bool>({1,0})));
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s.push_back(new Shin::NeuronNetwork::Solution(std::vector<double>({0})));
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p.push_back(new X(std::vector<bool>({1,1})));
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s.push_back( new Shin::NeuronNetwork::Solution(std::vector<double>({1})));
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p.push_back( new X(std::vector<bool>({0,1})));
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if(test)
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{
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std::cerr << "Testing with entropy\n";
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b.allowEntropy();
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}else
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{
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std::cerr << "Testing without entropy\n";
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}
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b.setLearningCoeficient(0.1);//8);
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for(int j=0;;j++)
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{
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double err=b.teachSet(p,s);
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if(err <0.3)
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{
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// b.setLearningCoeficient(5);
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}
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if(err <0.1)
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{
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// b.setLearningCoeficient(0.2);
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}
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if(err <0.001)
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{
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std::cerr << j << "(" << err <<"):\n";
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for(int i=0;i<4;i++)
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{
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std::cerr << "\t" << i%4 <<". FOR: [" << p[i%4]->representation()[0] << "," <<p[i%4]->representation()[1] << "] res: " <<
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q.solve(*p[i%4])[0] << " should be " << s[i%4]->operator[](0)<<"\n";
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}
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}
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if(err <0.001)
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break;
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}
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}
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} |