Fixes3
This commit is contained in:
Asrın Doğan
parent
dc43ce7a29
commit
a2614c61c4
257
main.cpp
257
main.cpp
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@ -35,10 +35,13 @@ float RandomFloat(int min, int max)
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Sinaps::Sinaps()
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{
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weight = value = bias = 0.0;
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// weight = value = bias = 0.0;
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this -> weight = RandomFloat(-1, 1);
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this -> value = RandomFloat(-1, 1);
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this -> bias = RandomFloat(-1, 1);
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std::clog << "Create Sinaps: Weight = " << weight
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<< " Value = " << value
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<< " Bias = " << bias << "\n";
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<< " Bias = " << bias << "\n" << "\n";
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}
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Sinaps::~Sinaps()
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@ -62,18 +65,18 @@ float RandomFloat(int min, int max)
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this -> weight = weight;
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this -> value = value;
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this -> bias = bias;
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std::clog << "Set Sinaps: Weight = " << weight
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std::clog << "\n" << "Set Sinaps: Weight = " << weight
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<< " Value = " << value
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<< " Bias = " << bias << "\n";
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}
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void Sinaps::SetWeight(float weight) { std::clog << "Set Sinaps Weight: " << weight << "\n"; this -> weight = weight; }
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void Sinaps::SetValue(float value) { std::clog << "Set Sinaps Value: " << value << "\n"; this -> value = value; }
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void Sinaps::SetBias(float bias) { std::clog << "Set Sinaps Bias: " << bias << "\n"; this -> bias = bias; }
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void Sinaps::SetWeight(float weight) { std::clog << "\n" << "Set Sinaps Weight: " << weight << "\n"; this -> weight = weight; }
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void Sinaps::SetValue(float value) { std::clog << "\n" << "Set Sinaps Value: " << value << "\n"; this -> value = value; }
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void Sinaps::SetBias(float bias) { std::clog << "\n" << "Set Sinaps Bias: " << bias << "\n"; this -> bias = bias; }
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float Sinaps::Fire()
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{
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float result = weight * value + bias;
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std::clog << "Return Sinaps Fire: " << weight << " * " <<
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std::clog << "\n" << "Return Sinaps Fire: " << weight << " * " <<
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value << " + " <<
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bias << " = " <<
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result << "\n";
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@ -111,7 +114,13 @@ float RandomFloat(int min, int max)
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bool Noron::SetForwards(Sinaps *newForwards, int size)
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{
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std::clog << "SetForwards: Allocating Memory of Size " << size << "\n";
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std::clog << "\n" << "SetForwards: Allocating Memory of Size " << size << " Sinapses" << "\n";
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if(forwards)
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{
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delete forwards;
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forwards = NULL;
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std::clog << "SetForwards: Old Forwards Has Been Deleted!" << "\n";
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}
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forwards = (Sinaps *)new char[sizeof(Sinaps) * size];
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if(!forwards)
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@ -131,7 +140,14 @@ float RandomFloat(int min, int max)
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bool Noron::SetIncoming(Sinaps *newIncoming, int size)
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{
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std::clog << "SetIncoming: Allocating Memory of Size " << size << "\n";
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std::clog << "\n" << "SetIncoming: Allocating Memory of Size " << size << " Sinapses" << "\n";
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if(incoming)
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{
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delete incoming;
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incoming = NULL;
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std::clog << "SetIncoming: Old Incoming Has Been Deleted!" << "\n";
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}
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incoming = (Sinaps *)new char[sizeof(Sinaps) * size];
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if(!incoming)
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@ -159,7 +175,7 @@ float RandomFloat(int min, int max)
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for (int i = 0; i < forwardsCount; i++)
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(forwards + i) -> SetValue(toplam);
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std::clog << "Get Noron Status: Sum = " << toplam << "\n";
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std::clog << "\n" << "Get Noron Status: Sum = " << toplam << "\n";
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return toplam;
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}
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#pragma endregion
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@ -197,7 +213,7 @@ float RandomFloat(int min, int max)
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if(!CreateNoron(size))
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{
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std::clog << "Error Create Layer: Neurons Couldn't Created!" << "\n";
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std::cout << "Katman Oluşturulamadı!";
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std::cout << "Katman Oluşturulamadı!" << "\n";
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return;
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}
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@ -209,10 +225,11 @@ float RandomFloat(int min, int max)
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Sinaps *Katman::CreateSinapsSet(int size)
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{
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std::clog << "\n" << "CreateSinapsSet: Allocating Memory Size of " << size << " Sinapses" << "\n";
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Sinaps* sinapses = new Sinaps[size];
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if(sinapses)
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std::clog << "Create Sinaps Set: " << size << " Sinapses Has Been Created!" << "\n";
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std::clog << "Create Sinaps Set: Memory Size of " << size << " Sinapses Allocated!" << "\n";
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else
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std::clog << "Error Create Sinaps Set!" << "\n";
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@ -223,9 +240,9 @@ float RandomFloat(int min, int max)
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if(!forward)
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return;
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float weight;
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float value;
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float bias;
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float weight = 0;
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float value = 0;
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float bias = 0;
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int sinapsCount = size * (forward -> GetSize());
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for (int i = 0; i < sinapsCount; i++)
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@ -235,43 +252,54 @@ float RandomFloat(int min, int max)
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bias = RandomFloat(-1, 1);
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(layerSinapses + i) -> SetSinaps(weight, value, bias);
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std::clog << "Call RandomizeSinapsValues: SetSinaps Called With Values of SetSinaps(" << weight << ", " << value << ", " << bias << ")" << "\n";
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std::clog << "RandomizeSinapsValues: SetSinaps d With Values of SetSinaps(" << weight << ", " << value << ", " << bias << ")" << "\n";
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}
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}
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void Katman::FireLayer()
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{
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std::clog << "Call FireLayer: Number of " << size << " Neurons' GetStatus is Being Called!" << "\n";
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std::clog << "\n" << "FireLayer: Number of " << size << " Neurons' GetStatus is Being Called!" << "\n";
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for (int i = 0; i < size; i++)
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std::clog << i << ". Neuron Status: " << (neurons + i) -> GetStatus() << "\n";
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}
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bool Katman::SetForward(Katman *forward)
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{
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std::clog << "\n" << "SetForward: Called!" << "\n";
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Sinaps *sinapses = NULL; // Pointer to store all created sinapses
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Sinaps *newSinapses = NULL; // Temporary Pointer for creating each neurons' s1inapses
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int forwardSize;
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int sinapsesIndex = 0;
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delete layerSinapses;
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int forwardSize = 0;
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if(layerSinapses)
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{
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delete layerSinapses;
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layerSinapses = NULL;
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std::clog << "SetForward: Old layerSinapses Has Been Deleted!" << "\n";
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}
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this -> forward = forward;
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if(!forward)
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{
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std::clog << "Call SetForward: Forward is NULL" << "\n";
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std::clog << "SetForward: Forward is NULL" << "\n";
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return true;
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}
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forwardSize = forward -> GetSize();
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std::clog << "Call SetForward: Creating Sinaps Set with Number of " << (size * forwardSize) << "\n";
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std::clog << "SetForward: Creating Sinaps Set with Number of " << (size * forwardSize) << "\n";
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if(sinapses)
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{
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delete sinapses;
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sinapses = NULL;
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std::clog << "SetForward: Old Sinapses Has Been Deleted!" << "\n";
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}
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sinapses = (Sinaps *)new char[sizeof(Sinaps) * size * forwardSize];
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if(!sinapses)
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{
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std::clog << "Error Call SetForward: Couldn't Allocate Memory for Sinapses!" << "\n";
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std::clog << "Error SetForward: Couldn't Allocate Memory for Sinapses!" << "\n";
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return false;
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}
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std::clog << "Call SetForward: Sinapses Set Created!" << "\n";
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std::clog << "SetForward: SinapsSet Created!" << "\n";
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// Set Forwards of each neuron in the Layer
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for (int thisCounter = 0; thisCounter < size; thisCounter++)
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@ -280,23 +308,24 @@ float RandomFloat(int min, int max)
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if(!newSinapses)
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{
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std::clog << "Call SetForward -> CreateSinapsSet: Couldn't Allocate Memory for Sinapses!" << "\n";
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std::clog << "SetForward -> CreateSinapsSet: Couldn't Allocate Memory for Sinapses!" << "\n";
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return false;
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}
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std::clog << "Call SetForward -> CreateSinapsSet: Sinapses Set Created!" << "\n";
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std::clog << "SetForward -> CreateSinapsSet: SinapsSet Created!" << "\n";
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std::clog << "Call SetForward -> SetForwards: " <<
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std::clog << "SetForward -> SetForwards: " <<
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(neurons + thisCounter) -> SetForwards(newSinapses, forwardSize)
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<< "\n";;
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<< "\n";;
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// Add each sinaps to the array
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for (int forwardCounter = 0; forwardCounter < forwardSize; forwardCounter++)
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*(sinapses + (sinapsesIndex++)) = *(newSinapses + forwardCounter);
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std::clog << "Call SetForward: Sinapses Are Added to the Array!" << "\n";
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*(sinapses + forwardCounter) = *(newSinapses + forwardCounter);
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std::clog << "SetForward: Sinapses Are Added to the Array!" << "\n";
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}
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layerSinapses = sinapses;
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std::clog << "Call SetForward: Sinaps Array Has Been Set to the Class' Pointer!" << "\n";
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std::clog << "SetForward: Sinaps Array Has Been Set to the Class' Pointer!" << "\n";
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// Send the sinapses to the forward layer
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return forward -> SetIncoming(sinapses, size);
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}
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@ -305,24 +334,30 @@ float RandomFloat(int min, int max)
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{
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Sinaps *sinapses = NULL;
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std::clog << "Call SetIncoming: Creating Sinaps Set with Number of " << backwardsNeuronCount << "\n";
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std::clog << "\n" << "SetIncoming: Creating Sinaps Set with Number of " << backwardsNeuronCount << "\n";
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if(sinapses)
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{
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delete sinapses;
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sinapses = NULL;
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std::clog << "SetIncoming: Old Sinapses Has Been Deleted!" << "\n";
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}
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sinapses = (Sinaps *)new char[sizeof(Sinaps) * backwardsNeuronCount];
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if(!sinapses)
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{
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std::clog << "Error Call SetIncoming: Couldn't Allocate Memory for Sinapses!" << "\n";
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std::clog << "Error SetIncoming: Couldn't Allocate Memory for Sinapses!" << "\n";
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return false;
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}
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std::clog << "Call SetIncoming: Sinapses Set Created!" << "\n";
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std::clog << "SetIncoming: SinapsSet Created!" << "\n";
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for (int thisCounter = 0; thisCounter < size; thisCounter++)
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{
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std::clog << "Call SetIncoming: Sinapses Are Being Added to the Array!" << "\n";
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std::clog << "SetIncoming: Sinapses Are Being Added to the Array!" << "\n";
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// Add each sinaps to the array
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for (int incomingCounter = 0; incomingCounter < backwardsNeuronCount; incomingCounter++)
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*(sinapses + (size * thisCounter + incomingCounter)) = *(sinapsSet + incomingCounter);
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*(sinapses + incomingCounter) = *(sinapsSet + (size * thisCounter + incomingCounter));
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std::clog << "Call SetIncoming -> Neuron SetIncoming: " <<
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std::clog << "SetIncoming -> Neuron SetIncoming: " <<
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(neurons + thisCounter) -> SetIncoming(sinapses, backwardsNeuronCount)
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<< "\n";
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}
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@ -332,39 +367,50 @@ float RandomFloat(int min, int max)
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bool Katman::SetNoron(Noron *newNeurons, int size)
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{
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std::clog << "Call SetNoron: Creating Neurons with Number of " << size << "\n";
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std::clog << "\n" << "SetNoron: Creating Neurons with Number of " << size << "\n";
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if(neurons)
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{
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delete neurons;
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neurons = NULL;
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std::clog << "SetNoron: Old Neurons Has Been Deleted!" << "\n";
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}
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neurons = (Noron *) new char[sizeof(Noron) * size];
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if(!neurons)
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{
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std::clog << "Error Call SetNoron: Creating Neurons Failed!" << "\n";
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std::clog << "Error SetNoron: Creating Neurons Failed!" << "\n";
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return false;
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}
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std::clog << "Call SetNoron: Neurons Created Successfully!" << "\n";
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std::clog << "SetNoron: Neurons Created Successfully!" << "\n";
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std::clog << "Call SetNoron: Setting Neurons to the Class' Neurons!" << "\n";
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std::clog << "SetNoron: Setting Neurons to the Class' Neurons!" << "\n";
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for (int i = 0; i < size; i++)
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*(neurons+i) = *(newNeurons+i);
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std::clog << "Call SetNoron: Neurons are Set Successfully!" << "\n";
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std::clog << "SetNoron: Neurons are Set Successfully!" << "\n";
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this -> size = size;
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return true;
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}
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bool Katman::CreateNoron(int size)
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{
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std::clog << "Call CreateNoron: Creating Neurons with Number of " << size << "\n";
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std::clog << "\n" << "CreateNoron: Creating Neurons with Number of " << size << "\n";
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if(neurons)
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{
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delete neurons;
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neurons = NULL;
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std::clog << "CreateNoron: Old Neurons Has Been Deleted!" << "\n";
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}
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neurons = new Noron[size];
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if(!neurons)
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{
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std::clog << "Error Call CreateNoron: Creating Neurons Failed!" << "\n";
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std::clog << "Error CreateNoron: Creating Neurons Failed!" << "\n";
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return false;
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}
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std::clog << "Call CreateNoron: Neurons Created Successfully!" << "\n";
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std::clog << "CreateNoron: Neurons Created Successfully!" << "\n";
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std::clog << "Call CreateNoron: Neurons are Set Successfully!" << "\n";
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std::clog << "CreateNoron: Neurons are Set Successfully!" << "\n";
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this -> size = size;
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return true;
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}
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@ -381,23 +427,23 @@ float RandomFloat(int min, int max)
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void SetValue(int, float);
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};
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Girdi::Girdi() : Katman() {}
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Girdi::Girdi() : Katman(1) { std::clog << "\n" << "Create Input Layer: Called!" << "\n"; }
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Girdi::Girdi(int size) : Katman(size) {}
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void Girdi::SetValue(int index, float value)
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{
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Sinaps *editedSinaps = NULL;
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int forwardNeuronCount = forward -> GetSize();
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std::clog << "Call SetValue: Index of " << index << " Neuron's Sinapses Values are Getting Set to Value of " << value << "\n";
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std::clog << "\n" << "SetValue: Index of " << index << " Neuron's Sinapses Values are Getting Set to Value of " << value << "\n";
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for (int i = 0; i < forwardNeuronCount; i++)
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{
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std::clog << "Call SetValue -> Sinaps SetValue: Index of " << index << " Neuron's " << i << " Sinaps Value is Getting Set to Value of " << value << "\n";
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std::clog << "SetValue -> Sinaps SetValue: Index of " << index << " Neuron's " << i << " Sinaps Value is Getting Set to Value of " << value << "\n";
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editedSinaps = (layerSinapses + index * forwardNeuronCount + i);
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editedSinaps -> SetValue(value);
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std::clog << "Call SetValue -> Sinaps SetValue: Successfull" << "\n";
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std::clog << "SetValue -> Sinaps SetValue: Successfull" << "\n";
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}
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std::clog << "Call SetValue: Successfull" << "\n";
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std::clog << "SetValue: Successfull" << "\n";
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}
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#pragma endregion
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#pragma region Cikti
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@ -409,13 +455,14 @@ float RandomFloat(int min, int max)
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float GetValue(int);
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};
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Cikti::Cikti() : Katman() {}
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Cikti::Cikti() : Katman(1) { std::clog << "\n" << "Create Output Layer: Called!" << "\n"; }
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Cikti::Cikti(int size) : Katman(size) {}
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float Cikti::GetValue(int index)
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{
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std::clog << "\n" << "Call GetValue!" << "\n";
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float result = (neurons + index) -> GetStatus();
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std::clog << "Call GetValue: " << result << "\n";
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std::clog << "GetValue: " << result << "\n";
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return result;
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}
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#pragma endregion
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@ -444,7 +491,7 @@ float RandomFloat(int min, int max)
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NeuralNetwork::NeuralNetwork()
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{
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std::clog << "Create NeuralNetwork: NULL" << "\n";
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std::clog << "\n" << "Create NeuralNetwork: NULL" << "\n";
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hiddenSize = 0;
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input = NULL;
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hiddenLayers = NULL;
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@ -453,10 +500,11 @@ float RandomFloat(int min, int max)
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NeuralNetwork::NeuralNetwork(int hiddenSize)
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{
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std::clog << "\n" << "Create NeuralNetwork: Called" << "\n";
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input = new Girdi();
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hiddenLayers = new Katman[hiddenSize];
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output = new Cikti();
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std::clog << "Create NeuralNetwork: New Neural Network Created with " << hiddenSize << " Layers!" << "\n";
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std::clog << "\n" << "Create NeuralNetwork: New Neural Network Created with " << hiddenSize << " Layers!" << "\n";
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if(!input)
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{
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@ -490,75 +538,89 @@ float RandomFloat(int min, int max)
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bool NeuralNetwork::SetHiddenLayerNeurons(int index, int size)
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{
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std::clog << "Call SetHiddenLayerNeurons: Size of " << size << " at Index of " << index << "\n";
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std::clog << "Call SetHiddenLayerNeurons: Creating " << size << " Neurons!" << "\n";
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bool result;
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std::clog << "\n" << "SetHiddenLayerNeurons: Size of " << size << " at Index of " << index << "\n";
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std::clog << "SetHiddenLayerNeurons: Allocating Memory Size of " << size << " Neurons!" << "\n";
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Noron *neurons = (Noron *) new char[sizeof(Noron) * size];
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if(!neurons)
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{
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std::clog << "Error Call SetHiddenLayerNeurons: Couldn't Allocate Memory for Neurons!" << "\n";
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std::clog << "Error SetHiddenLayerNeurons: Couldn't Allocate Memory for Neurons!" << "\n";
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return false;
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}
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std::clog << "Call SetHiddenLayerNeurons: Neurons Are Created!" << "\n";
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return (hiddenLayers + index) -> SetNoron(neurons, size);
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||||
std::clog << "SetHiddenLayerNeurons: Memory Allocated!" << "\n";
|
||||
std::clog << "SetHiddenLayerNeurons -> CreateNoron: Called!" << "\n";
|
||||
result = (hiddenLayers + index) -> CreateNoron(size);
|
||||
std::clog << "SetHiddenLayerNeurons -> CreateNoron: " << result << "\n";
|
||||
// if(result)
|
||||
// return (hiddenLayers + index) -> SetNoron(neurons, size);
|
||||
return result;
|
||||
}
|
||||
|
||||
bool NeuralNetwork::SetInputNeurons(int size)
|
||||
{
|
||||
std::clog << "Call SetInputNeurons: Size of " << size << "\n";
|
||||
std::clog << "Call SetInputNeurons: Creating " << size << " Neurons!" << "\n";
|
||||
bool result;
|
||||
std::clog << "\n" << "SetInputNeurons: Size of " << size << "\n";
|
||||
std::clog << "SetInputNeurons: Allocating Memory Size of " << size << " Neurons!" << "\n";
|
||||
Noron *neurons = (Noron *) new char[sizeof(Noron) * size];
|
||||
|
||||
if(!neurons)
|
||||
{
|
||||
std::clog << "Error Call SetInputNeurons: Couldn't Allocate Memory for Neurons!" << "\n";
|
||||
std::clog << "Error SetInputNeurons: Couldn't Allocate Memory for Neurons!" << "\n";
|
||||
return false;
|
||||
}
|
||||
std::clog << "Call SetInputNeurons: Neurons Are Created!" << "\n";
|
||||
|
||||
return output -> SetNoron(neurons, size);
|
||||
std::clog << "SetInputNeurons: Memory Allocated!" << "\n";
|
||||
std::clog << "SetInputNeurons -> CreateNoron: Called!" << "\n";
|
||||
result = input -> CreateNoron(size);
|
||||
std::clog << "SetInputNeurons -> CreateNoron: " << result << "\n";
|
||||
// return output -> SetNoron(neurons, size);
|
||||
return result;
|
||||
}
|
||||
|
||||
bool NeuralNetwork::SetOutputNeurons(int size)
|
||||
{
|
||||
std::clog << "Call SetInputNeurons: Size of " << size << "\n";
|
||||
std::clog << "Call SetInputNeurons: Creating " << size << " Neurons!" << "\n";
|
||||
bool result;
|
||||
std::clog << "\n" << "SetOutputNeurons: Size of " << size << "\n";
|
||||
std::clog << "SetOutputNeurons: Allocating Memory Size of " << size << " Neurons!" << "\n";
|
||||
Noron *neurons = (Noron *) new char[sizeof(Noron) * size];
|
||||
|
||||
if(!neurons)
|
||||
{
|
||||
std::clog << "Error Call SetInputNeurons: Couldn't Allocate Memory for Neurons!" << "\n";
|
||||
std::clog << "Error SetOutputNeurons: Couldn't Allocate Memory for Neurons!" << "\n";
|
||||
return false;
|
||||
}
|
||||
std::clog << "Call SetInputNeurons: Neurons Are Created!" << "\n";
|
||||
std::clog << "SetOutputNeurons: Memory Allocated!" << "\n";
|
||||
|
||||
return input -> SetNoron(neurons, size);
|
||||
std::clog << "SetOutputNeurons -> CreateNoron: Called!" << "\n";
|
||||
result = input -> CreateNoron(size);
|
||||
std::clog << "SetOutputNeurons -> CreateNoron: " << result << "\n";
|
||||
// return input -> SetNoron(neurons, size);
|
||||
return result;
|
||||
}
|
||||
|
||||
bool NeuralNetwork::ConnectLayers()
|
||||
{
|
||||
if(!input -> SetForward(hiddenLayers))
|
||||
{
|
||||
std::clog << "Call ConnectLayers: Input Couldn't Set to Forward!" << "\n";
|
||||
std::clog << "\n" << "ConnectLayers: Input Couldn't Set to Forward!" << "\n";
|
||||
return false;
|
||||
}
|
||||
std::clog << "Call ConnectLayers: Input is Set to Forward Successfully!" << "\n";
|
||||
std::clog << "\n" << "ConnectLayers: Input is Set to Forward Successfully!" << "\n";
|
||||
|
||||
for (int i = 0; i < hiddenSize - 1; i++)
|
||||
if(!(hiddenLayers + i) -> SetForward(hiddenLayers + i + 1))
|
||||
{
|
||||
std::clog << "Call ConnectLayers: Hidden Layer " << i << " Couldn't Set to Forward!" << "\n";
|
||||
std::clog << "ConnectLayers: Hidden Layer " << i << " Couldn't Set to Forward!" << "\n";
|
||||
return false;
|
||||
}
|
||||
std::clog << "Call ConnectLayers: Hidden Layers are Set to Forward Successfully!" << "\n";
|
||||
std::clog << "ConnectLayers: Hidden Layers are Set to Forward Successfully!" << "\n";
|
||||
|
||||
if(!(hiddenLayers + hiddenSize - 1) -> SetForward(output))
|
||||
{
|
||||
std::clog << "Call ConnectLayers: Output Couldn't Set to Forward!" << "\n";
|
||||
std::clog << "ConnectLayers: Output Couldn't Set to Forward!" << "\n";
|
||||
return false;
|
||||
}
|
||||
std::clog << "Call ConnectLayers: Output is Set to Forward Successfully!" << "\n";
|
||||
std::clog << "ConnectLayers: Output is Set to Forward Successfully!" << "\n";
|
||||
|
||||
return output -> SetForward(NULL);
|
||||
}
|
||||
|
|
@ -566,54 +628,56 @@ float RandomFloat(int min, int max)
|
|||
void NeuralNetwork::FireNetwork()
|
||||
{
|
||||
// input -> FireLayer();
|
||||
// std::clog << "Call FireNetwork: Input Fired!" << "\n";
|
||||
// std::clog << "\n" << "FireNetwork: Input Fired!" << "\n";
|
||||
|
||||
for (int i = 0; i < hiddenSize; i++)
|
||||
{
|
||||
(hiddenLayers + i) -> FireLayer();
|
||||
std::clog << "Call FireNetwork: Hidden Layer " << i << " Fired!" << "\n";
|
||||
std::clog << "FireNetwork: Hidden Layer " << i << " Fired!" << "\n";
|
||||
}
|
||||
|
||||
output -> FireLayer();
|
||||
std::clog << "Call FireNetwork: Output Fired!" << "\n";
|
||||
std::clog << "FireNetwork: Output Fired!" << "\n";
|
||||
}
|
||||
|
||||
void NeuralNetwork::SetInput(int index, float value)
|
||||
{
|
||||
if(!input)
|
||||
{
|
||||
std::clog << "Call SetInput: There's no Input Layer Set!" << "\n";
|
||||
std::clog << "\n" << "SetInput: There's no Input Layer Set!" << "\n";
|
||||
return;
|
||||
}
|
||||
|
||||
std::clog << "Call SetInput -> Input SetValue: SetValue(" << index << ", " << value << ")!" << "\n";
|
||||
std::clog << "\n" << "SetInput -> Input SetValue: SetValue(" << index << ", " << value << ")!" << "\n";
|
||||
input -> SetValue(index, value);
|
||||
}
|
||||
|
||||
void NeuralNetwork::RandomizeNetworkValues()
|
||||
{
|
||||
std::clog << "Call RandomizeNetworkValues: Input Sinapses Are Getting Randomized!" << "\n";
|
||||
std::clog << "\n" << "RandomizeNetworkValues: Input Sinapses Are Getting Randomized!" << "\n";
|
||||
input -> RandomizeSinapsValues();
|
||||
|
||||
for (int i = 0; i < hiddenSize; i++)
|
||||
{
|
||||
std::clog << "Call RandomizeNetworkValues: Hidden Layer " << i << " Sinapses Are Getting Randomized!" << "\n";
|
||||
std::clog << "RandomizeNetworkValues: Hidden Layer " << i << " Sinapses Are Getting Randomized!" << "\n";
|
||||
(hiddenLayers + i) -> RandomizeSinapsValues();
|
||||
}
|
||||
|
||||
std::clog << "Call RandomizeNetworkValues: Output Sinapses Are Getting Randomized!" << "\n";
|
||||
std::clog << "RandomizeNetworkValues: Output Sinapses Are Getting Randomized!" << "\n";
|
||||
output -> RandomizeSinapsValues();
|
||||
}
|
||||
|
||||
float NeuralNetwork::GetOutputValue(int index)
|
||||
{
|
||||
float result = output -> GetValue(index);
|
||||
std::clog << "Call GetOutputValue: " << result << "\n";
|
||||
std::clog << "\n" << "GetOutputValue: " << result << "\n";
|
||||
return result;
|
||||
}
|
||||
#pragma endregion
|
||||
int main(int argc, char const *argv[])
|
||||
{
|
||||
float result;
|
||||
FILE *file;
|
||||
NeuralNetwork network(3);
|
||||
|
||||
network.SetInputNeurons(1);
|
||||
|
|
@ -627,10 +691,21 @@ int main(int argc, char const *argv[])
|
|||
network.RandomizeNetworkValues();
|
||||
std::cout << "m2\n";
|
||||
|
||||
// network.SetInput(0, 1);
|
||||
network.SetInput(0, 1);
|
||||
std::cout << "m3\n";
|
||||
|
||||
// network.FireNetwork();
|
||||
// std::cout << network.GetOutputValue(0) << "\n";
|
||||
network.FireNetwork();
|
||||
result = network.GetOutputValue(0);
|
||||
std::cout << "Output is " << result << "\n";
|
||||
file = fopen("result.txt", "w");
|
||||
fprintf(file, "%f", result);
|
||||
fclose(file);
|
||||
|
||||
// std::cout << "Sinaps = " << sizeof(Sinaps) * 30 << "\n";
|
||||
// std::cout << "Noron = " << sizeof(Noron) * 9 << "\n";
|
||||
// std::cout << "Katman = " << sizeof(Katman) * 3 << "\n";
|
||||
// std::cout << "Girdi = " << sizeof(Girdi) * 1 << "\n";
|
||||
// std::cout << "Cikti = " << sizeof(Cikti) * 1 << "\n";
|
||||
// std::cout << "NeuralNetwork = " << sizeof(NeuralNetwork) * 1 << "\n";
|
||||
return 0;
|
||||
}
|
||||
|
|
|
|||
Loading…
Reference in New Issue