74 lines
1.8 KiB
C++
74 lines
1.8 KiB
C++
#include "../src/NeuronNetwork/Network"
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#include <iostream>
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class X: public Shin::NeuronNetwork::Problem
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{
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public: X(bool x,bool y):x(x),y(y) {}
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protected: std::vector<float> representation() const { return std::vector<float>({x,y}); }
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private:
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bool x;
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bool y;
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};
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int main()
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{
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srand(time(NULL));
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int lm=5;
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Shin::NeuronNetwork::FeedForwardNetwork net({2,lm,1});
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bool x=1;
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int prev_err=0;
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int err=0;
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int l;
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int n;
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int w;
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int pot;
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int wei;
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int c=0;
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std::cout << "\ntest 1 & 1 -" << net.solve(X(1,1))[0];
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std::cout << "\ntest 1 & 0 -" << net.solve(X(1,0))[0];
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std::cout << "\ntest 0 & 1 - " << net.solve(X(0,1))[0];
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std::cout << "\ntest 0 & 0- " << net.solve(X(0,0))[0];
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std::cout << "\n---------------------------------------";
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do{
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if(c%10000 ==1)
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{
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std::cout << "\nmixed";
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srand(time(NULL));
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}
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err=0;
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c++;
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l=rand()%2+1;
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n=rand()%lm;
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w=rand()%2;
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if(l==2)
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n=0;
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pot=net[l]->operator[](n)->getPotential();
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net[l]->operator[](n)->setPotential(pot*(rand()%21+90)/100);
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wei=net[l]->operator[](n)->getWeight(w);
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net[l]->operator[](n)->setWeight(w,wei*(rand()%21+90)/100);
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for(int i=0;i<100;i++)
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{
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bool x= rand()%2;
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bool y=rand()%2;
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Shin::NeuronNetwork::Solution s =net.solve(X(x,y));
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if(s[0]!= (x xor y))
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err++;
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}
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if(err > prev_err)
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{
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net[l]->operator[](n)->setPotential(pot);
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net[l]->operator[](n)->setWeight(w,wei);
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};
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// std::cout << "C: " << c << " err: " << err << " prev: "<<prev_err << "\n";
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prev_err=err;
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if(err <1)
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x=0;
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}while(x);
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std::cout << "\ntest 1 & 1 -" << net.solve(X(1,1))[0];
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std::cout << "\ntest 1 & 0 -" << net.solve(X(1,0))[0];
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std::cout << "\ntest 0 & 1 - " << net.solve(X(0,1))[0];
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std::cout << "\ntest 0 & 0- " << net.solve(X(0,0))[0];
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std::cout << "\nTotaly: " << c << "\n";
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} |