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Shin
2014-12-10 20:47:11 +01:00
parent 5d0fa9301b
commit ddef0e37a7
18 changed files with 50 additions and 179 deletions
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3
tests/nn-03.cpp
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@@ -37,20 +37,17 @@ int main()
Shin::NeuronNetwork::Learning::BackPropagation b(q);
b.setLearningCoeficient(10);
b.debugOn();
for(int i=0;i<4;i++)
{
b.teach(p[i%4],s[i%4]);
std::cerr << i%4 <<". FOR: [" << p[i%4].representation()[0] << "," <<p[i%4].representation()[1] << "] res: " << q.solve(p[i%4])[0] << " should be " <<
s[i%4][0]<<"\n";
}
b.debugOff();
for(int i=0;i<40000;i++)
{
b.teach(p[i%4],s[i%4]);
}
b.debugOn();
std::cerr << "LEARNED\n";
for(int i=0;i<4;i++)
{

34
tests/nn-bp-xor.cpp
View File

@@ -20,21 +20,11 @@ int main()
Shin::NeuronNetwork::Learning::BackPropagation b(q);
srand(time(NULL));
std::vector<Shin::NeuronNetwork::Solution*> s;
std::vector<Shin::NeuronNetwork::Problem*> p;
s.push_back(new Shin::NeuronNetwork::Solution(std::vector<float>({0})));
p.push_back(new X(std::vector<float>({0,0})));
s.push_back( new Shin::NeuronNetwork::Solution(std::vector<float>({1})));
p.push_back( new X(std::vector<float>({1,0})));
s.push_back(new Shin::NeuronNetwork::Solution(std::vector<float>({0})));
p.push_back(new X(std::vector<float>({1,1})));
s.push_back( new Shin::NeuronNetwork::Solution(std::vector<float>({1})));
p.push_back( new X(std::vector<float>({0,1})));
std::vector<std::pair<Shin::NeuronNetwork::Problem, Shin::NeuronNetwork::Solution> > set;
set.push_back(std::pair<Shin::NeuronNetwork::Problem, Shin::NeuronNetwork::Solution>(Shin::NeuronNetwork::Problem({0,0}),Shin::NeuronNetwork::Solution({0})));
set.push_back(std::pair<Shin::NeuronNetwork::Problem, Shin::NeuronNetwork::Solution>(Shin::NeuronNetwork::Problem({1,0}),Shin::NeuronNetwork::Solution({1})));
set.push_back(std::pair<Shin::NeuronNetwork::Problem, Shin::NeuronNetwork::Solution>(Shin::NeuronNetwork::Problem({1,1}),Shin::NeuronNetwork::Solution({0})));
set.push_back(std::pair<Shin::NeuronNetwork::Problem, Shin::NeuronNetwork::Solution>(Shin::NeuronNetwork::Problem({0,1}),Shin::NeuronNetwork::Solution({1})));
if(test)
{
std::cerr << "Testing with entropy\n";
@@ -46,7 +36,7 @@ int main()
b.setLearningCoeficient(20);//8);
for(int j=0;;j++)
{
double err=b.teachSet(p,s);
double err=b.teachSet(set);
if(err <0.3)
{
// b.setLearningCoeficient(5);
@@ -60,20 +50,12 @@ int main()
std::cerr << j << "(" << err <<"):\n";
for(int i=0;i<4;i++)
{
std::cerr << "\t" << i%4 <<". FOR: [" << p[i%4]->operator[](0) << "," <<p[i%4]->operator[](1) << "] res: " <<
q.solve(*p[i%4])[0] << " should be " << s[i%4]->operator[](0)<<"\n";
std::cerr << "\t" << i%4 <<". FOR: [" << set[i%4].first[0] << "," <<set[i%4].first[1] << "] res: " <<
q.solve(set[i%4].first)[0] << " should be " << set[i%4].second[0]<<"\n";
}
}
if(err <0.001)
break;
}
for(auto a:p)
{
delete a;
}
for(auto a:s)
{
delete a;
}
}
}