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NeuralNetworkGenetic
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Fixes4

This commit is contained in:
Asrın Doğan 2019-12-14 18:24:48 +03:00
parent a2614c61c4
commit 8a8d56cc02
1 changed files with 32 additions and 14 deletions
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44
main.cpp
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@ -12,7 +12,7 @@ float RandomFloat(int min, int max)
value = (rand() % ((max - min) * 100));
result = (float)value / 100.0 + (float)min;
std::clog << "Function RandomFloat: Between " << min << " and " << max << " returned value is " << result << "\n";
return result;
return 1.0;
}
#pragma region Sinaps
@ -69,14 +69,14 @@ float RandomFloat(int min, int max)
<< " Value = " << value
<< " Bias = " << bias << "\n";
}
void Sinaps::SetWeight(float weight) { std::clog << "\n" << "Set Sinaps Weight: " << weight << "\n"; this -> weight = weight; }
void Sinaps::SetValue(float value) { std::clog << "\n" << "Set Sinaps Value: " << value << "\n"; this -> value = value; }
void Sinaps::SetBias(float bias) { std::clog << "\n" << "Set Sinaps Bias: " << bias << "\n"; this -> bias = bias; }
void Sinaps::SetWeight(float weight) { std::clog << "Set Sinaps Weight: " << weight << "\n"; this -> weight = weight; }
void Sinaps::SetValue(float value) { std::clog << "Set Sinaps Value: " << value << "\n"; this -> value = value; }
void Sinaps::SetBias(float bias) { std::clog << "Set Sinaps Bias: " << bias << "\n"; this -> bias = bias; }
float Sinaps::Fire()
{
float result = weight * value + bias;
std::clog << "\n" << "Return Sinaps Fire: " << weight << " * " <<
std::clog << "Return Sinaps Fire: " << weight << " * " <<
value << " + " <<
bias << " = " <<
result << "\n";
@ -167,15 +167,23 @@ float RandomFloat(int min, int max)
float Noron::GetStatus()
{
std::clog << "\n" << "GetStatus: Called!" << "\n";
float toplam = 0.0;
std::clog << "GetStatus: Firing All Sinapses!" << "\n" << "\n";
for (int i = 0; i < incomingCount; i++)
{
std::clog << "GetStatus: Firing Sinaps " << i << "\n";
toplam += (incoming + i) -> Fire();
}
for (int i = 0; i < forwardsCount; i++)
{
std::clog << "GetStatus: Setting Value of Sinaps " << i << " to " << toplam << "\n";
(forwards + i) -> SetValue(toplam);
}
std::clog << "\n" << "Get Noron Status: Sum = " << toplam << "\n";
std::clog << "Get Noron Status: Sum = " << toplam << "\n";
return toplam;
}
#pragma endregion
@ -203,12 +211,18 @@ float RandomFloat(int min, int max)
Katman::Katman()
{
neurons = NULL; this -> size = 0;
neurons = NULL;
forward = NULL;
layerSinapses = NULL;
this -> size = 0;
std::clog << "Create Layer: NULL" << "\n";
}
Katman::Katman(int size)
{
Katman();
neurons = NULL;
forward = NULL;
layerSinapses = NULL;
this -> size = 0;
if(!CreateNoron(size))
{
@ -252,7 +266,7 @@ float RandomFloat(int min, int max)
bias = RandomFloat(-1, 1);
(layerSinapses + i) -> SetSinaps(weight, value, bias);
std::clog << "RandomizeSinapsValues: SetSinaps d With Values of SetSinaps(" << weight << ", " << value << ", " << bias << ")" << "\n";
std::clog << "RandomizeSinapsValues: SetSinaps Called With Values of SetSinaps(" << weight << ", " << value << ", " << bias << ")" << "\n";
}
}
@ -333,6 +347,7 @@ float RandomFloat(int min, int max)
bool Katman::SetIncoming(Sinaps *sinapsSet, int backwardsNeuronCount)
{
Sinaps *sinapses = NULL;
int sinapcCounter = 0;
std::clog << "\n" << "SetIncoming: Creating Sinaps Set with Number of " << backwardsNeuronCount << "\n";
if(sinapses)
@ -355,7 +370,7 @@ float RandomFloat(int min, int max)
std::clog << "SetIncoming: Sinapses Are Being Added to the Array!" << "\n";
// Add each sinaps to the array
for (int incomingCounter = 0; incomingCounter < backwardsNeuronCount; incomingCounter++)
*(sinapses + incomingCounter) = *(sinapsSet + (size * thisCounter + incomingCounter));
*(sinapses + incomingCounter) = *(sinapsSet + sinapcCounter++);
std::clog << "SetIncoming -> Neuron SetIncoming: " <<
(neurons + thisCounter) -> SetIncoming(sinapses, backwardsNeuronCount)
@ -602,7 +617,7 @@ float RandomFloat(int min, int max)
{
if(!input -> SetForward(hiddenLayers))
{
std::clog << "\n" << "ConnectLayers: Input Couldn't Set to Forward!" << "\n";
std::clog << "\n" << "Error ConnectLayers: Input Couldn't Set to Forward!" << "\n";
return false;
}
std::clog << "\n" << "ConnectLayers: Input is Set to Forward Successfully!" << "\n";
@ -610,14 +625,17 @@ float RandomFloat(int min, int max)
for (int i = 0; i < hiddenSize - 1; i++)
if(!(hiddenLayers + i) -> SetForward(hiddenLayers + i + 1))
{
std::clog << "ConnectLayers: Hidden Layer " << i << " Couldn't Set to Forward!" << "\n";
std::clog << "Error ConnectLayers: Hidden Layer " << i << " Couldn't Set to Forward!" << "\n";
return false;
}
else
std::clog << "ConnectLayers: Hidden Layer " << i << " is Set to Forward Successfully!" << "\n";
std::clog << "ConnectLayers: Hidden Layers are Set to Forward Successfully!" << "\n";
if(!(hiddenLayers + hiddenSize - 1) -> SetForward(output))
{
std::clog << "ConnectLayers: Output Couldn't Set to Forward!" << "\n";
std::clog << "Error ConnectLayers: Output Couldn't Set to Forward!" << "\n";
return false;
}
std::clog << "ConnectLayers: Output is Set to Forward Successfully!" << "\n";