#include "../src/NeuronNetwork/FeedForward" #include "../src/NeuronNetwork/FeedForwardQuick" #include "../src/NeuronNetwork/Learning/BackPropagation" #include #include class X: public Shin::NeuronNetwork::Problem { public: X(const X& a) :q(a.q) {} X(const std::vector &a):q(a) {} std::vector representation() const { return q; } protected: std::vector q; }; int main(int argc, char**) { srand(time(NULL)); std::vector s; std::vector p; // s.push_back(Shin::NeuronNetwork::Solution(std::vector({1}))); p.push_back(X(std::vector({0}))); s.push_back(Shin::NeuronNetwork::Solution(std::vector({0}))); p.push_back(X(std::vector({1}))); Shin::NeuronNetwork::FeedForwardNetworkQuick q({1,5000,5000,5000,1}); Shin::NeuronNetwork::Learning::BackPropagation b(q); if(argc >1) { std::cerr << "Allowing threadnig\n"; b.allowThreading(); } for(int i=0;i<2;i++) { b.teach(p[i%2],s[i%2]); std::cerr << i%2 <<". FOR: [" << p[i%2].representation()[0] << "] res: " << q.solve(p[i%2])[0] << " should be " << s[i%2][0]<<"\n"; } }