Clog
This commit is contained in:
Asrın Doğan
parent
9f64919676
commit
70675843c3
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@ -0,0 +1,2 @@
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*.exe
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*.txt
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@ -0,0 +1,38 @@
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{
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"files.associations": {
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"iostream": "cpp",
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"cmath": "cpp",
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"cstddef": "cpp",
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"cstdint": "cpp",
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"cstdio": "cpp",
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"cstdlib": "cpp",
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"cstring": "cpp",
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"cwchar": "cpp",
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"exception": "cpp",
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"initializer_list": "cpp",
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"ios": "cpp",
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"iosfwd": "cpp",
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"istream": "cpp",
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"limits": "cpp",
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"memory": "cpp",
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"new": "cpp",
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"ostream": "cpp",
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"stdexcept": "cpp",
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"streambuf": "cpp",
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"system_error": "cpp",
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"type_traits": "cpp",
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"typeinfo": "cpp",
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"utility": "cpp",
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"xfacet": "cpp",
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"xiosbase": "cpp",
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"xlocale": "cpp",
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"xlocinfo": "cpp",
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"xlocnum": "cpp",
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"xmemory": "cpp",
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"xmemory0": "cpp",
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"xstddef": "cpp",
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"xstring": "cpp",
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"xtr1common": "cpp",
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"xutility": "cpp"
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}
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}
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252
main.cpp
252
main.cpp
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@ -5,10 +5,14 @@
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float RandomFloat(int min, int max)
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{
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float result;
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int value;
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static unsigned long int counter = 0;
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srand(time(0) + counter++ * 50);
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int value = (rand() % ((max - min) * 100));
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return (float)value / 100.0 + (float)min + 1.0;
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value = (rand() % ((max - min) * 100));
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result = (float)value / 100.0 + (float)min;
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std::clog << "Function RandomFloat: Between " << min << " and " << max << " returned value is " << result << "\n";
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return result;
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}
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#pragma region Sinaps
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@ -20,6 +24,7 @@ float RandomFloat(int min, int max)
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float bias; // Öteleme
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public:
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Sinaps();
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~Sinaps();
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Sinaps(float, float, float); // Kaydedilen değerleri yeniden yazabilmek için
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void SetSinaps(float, float, float); // Sonradan tamamen değiştirebilmek için
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void SetWeight(float);
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@ -29,23 +34,44 @@ float RandomFloat(int min, int max)
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};
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Sinaps::Sinaps() { weight = value = bias = 0.0; }
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Sinaps::~Sinaps()
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{
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std::clog << "Delete Sinaps: Weight = " << weight
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<< " Value = " << value
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<< " Bias = " << bias << "\n";
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}
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Sinaps::Sinaps(float weight, float value, float bias)
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{
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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 << "Create 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::SetSinaps(float weight, float value, float bias) {
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std::cout << "weight = " << weight << "\n";
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std::cout << "value = " << value << "\n";
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std::cout << "bias = " << bias << "\n";
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Sinaps(weight, value, bias); }
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void Sinaps::SetWeight(float weight) { this -> weight = weight; }
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void Sinaps::SetValue(float value) { std::cout << value << "\n"; this -> value = value; }
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void Sinaps::SetBias(float bias) { this -> bias = bias; }
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void Sinaps::SetSinaps(float weight, float value, float bias)
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{
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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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<< " 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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float Sinaps::Fire() { return weight * value + 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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value << " + " <<
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bias << " = " <<
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result << "\n";
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return result;
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}
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#pragma endregion
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#pragma region Noron
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class Noron
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@ -67,6 +93,7 @@ float RandomFloat(int min, int max)
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{
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forwards = incoming = NULL;
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forwardsCount = incomingCount = 0;
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std::clog << "Create Noron: NULL" << "\n";
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}
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Noron::~Noron()
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@ -77,40 +104,51 @@ 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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forwards = (Sinaps *) new char[sizeof(Sinaps) * size];
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forwards = new Sinaps[size];
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if(!forwards) return false;
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if(!forwards)
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{
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std::clog << "Set Forwards: Memory Couldn't Allocated!" << "\n";
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return false;
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}
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for (int i = 0; i < size; i++)
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*(forwards+i) = *(newForwards+i);
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forwardsCount = size;
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std::clog << "Set Forwards: Successfull!" << "\n";
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return true;
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}
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bool Noron::SetIncoming(Sinaps *newIncoming, int size)
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{
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incoming = (Sinaps *) new char[sizeof(Sinaps) * size];
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incoming = new Sinaps[size];
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if(!incoming) return false;
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if(!incoming)
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{
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std::clog << "Set Incoming: Memory Couldn't Allocated!" << "\n";
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return false;
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}
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for (int i = 0; i < size; i++)
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*(incoming+i) = *(newIncoming+i);
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incomingCount = size;
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std::clog << "Set Incoming: Successfull!" << "\n";
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return true;
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}
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float Noron::GetStatus()
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{
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float toplam = 0.0;
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std::cout << toplam << "\n";
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for (int i = 0; i < incomingCount; i++)
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toplam += (incoming + i) -> Fire();
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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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return toplam;
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}
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#pragma endregion
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@ -136,14 +174,23 @@ float RandomFloat(int min, int max)
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int GetSize();
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};
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Katman::Katman() { neurons = NULL; this -> size = 0; }
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Katman::Katman()
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{
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neurons = NULL; this -> size = 0;
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std::clog << "Create Layer: NULL" << "\n";
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}
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Katman::Katman(int size)
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{
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Katman();
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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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else
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return;
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}
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std::clog << "Create Layer: " << size << " Neurons Has Been Created!" << "\n";
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this -> size = size;
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}
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Katman::~Katman() { delete neurons; }
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@ -151,11 +198,12 @@ float RandomFloat(int min, int max)
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Sinaps *Katman::CreateSinapsSet(int size)
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{
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Sinaps* sinapses = (Sinaps *) new char[sizeof(Sinaps) * size];
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Sinaps* sinapses = new Sinaps[size];
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if(sinapses)
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for (int i = 0; i < size; i++)
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*(sinapses + i) = Sinaps();
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std::clog << "Create Sinaps Set: " << size << " Sinapses Has Been Created!" << "\n";
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else
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std::clog << "Error Create Sinaps Set!" << "\n";
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return sinapses;
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}
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@ -164,21 +212,27 @@ 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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int sinapsCount = size * (forward -> GetSize());
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for (int i = 0; i < sinapsCount; i++)
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{
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(layerSinapses + i) -> SetSinaps(
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RandomFloat(-5, 5),
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RandomFloat(-5, 5),
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RandomFloat(-5, 5)
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);
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weight = RandomFloat(-1, 1);
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value = RandomFloat(-1, 1);
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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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}
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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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for (int i = 0; i < size; i++)
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std::cout << i << ". Fire = " << (neurons + i) -> GetStatus() << "\n";
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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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@ -192,14 +246,21 @@ float RandomFloat(int min, int max)
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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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return true;
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}
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forwardSize = forward -> GetSize();
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sinapses = (Sinaps *) new char[sizeof(Sinaps) * size * forwardSize];
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std::clog << "Call SetForward: Creating Sinaps Set with Number of " << (size * forwardSize) << "\n";
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sinapses = new 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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return false;
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}
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std::clog << "Call SetForward: Sinapses Set 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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@ -207,16 +268,24 @@ float RandomFloat(int min, int max)
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newSinapses = CreateSinapsSet(forwardSize);
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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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return false;
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}
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std::clog << "Call SetForward -> CreateSinapsSet: Sinapses Set Created!" << "\n";
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(neurons + thisCounter) -> SetForwards(newSinapses, forwardSize);
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std::clog << "Call SetForward -> SetForwards: " <<
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(neurons + thisCounter) -> SetForwards(newSinapses, forwardSize)
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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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}
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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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// Send the sinapses to the forward layer
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return forward -> SetIncoming(sinapses, size);
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}
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@ -225,45 +294,66 @@ float RandomFloat(int min, int max)
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{
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Sinaps *sinapses = NULL;
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sinapses = (Sinaps *) new char[sizeof(Sinaps) * backwardsNeuronCount];
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std::clog << "Call SetIncoming: Creating Sinaps Set with Number of " << backwardsNeuronCount << "\n";
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sinapses = new 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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return false;
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}
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std::clog << "Call SetIncoming: Sinapses Set 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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// 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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(neurons + thisCounter) -> SetIncoming(sinapses, backwardsNeuronCount);
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std::clog << "Call 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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return true;
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}
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bool Katman::SetNoron(Noron *newneurons, int size)
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bool Katman::SetNoron(Noron *newNeurons, int size)
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{
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neurons = (Noron *) new char[sizeof(Noron) * size];
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std::clog << "Call SetNoron: Creating Neurons with Number of " << size << "\n";
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neurons = new Noron[size];
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if(!neurons) return false;
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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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return false;
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}
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std::clog << "Call SetNoron: Neurons Created Successfully!" << "\n";
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std::clog << "Call 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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*(neurons+i) = *(newNeurons+i);
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std::clog << "Call 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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neurons = (Noron *) new char[sizeof(Noron) * size];
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std::clog << "Call CreateNoron: Creating Neurons with Number of " << size << "\n";
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if(!neurons) return false;
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neurons = new Noron[size];
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for (int i = 0; i < size; i++)
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*(neurons+i) = Noron();
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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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return false;
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}
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std::clog << "Call CreateNoron: Neurons Created Successfully!" << "\n";
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std::clog << "Call 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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@ -287,12 +377,16 @@ float RandomFloat(int min, int max)
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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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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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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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}
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std::clog << "Call SetValue: Successfull" << "\n";
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}
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#pragma endregion
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#pragma region Cikti
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@ -309,7 +403,9 @@ float RandomFloat(int min, int max)
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float Cikti::GetValue(int index)
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{
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return (neurons + index) -> GetStatus();
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float result = (neurons + index) -> GetStatus();
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std::clog << "Call GetValue: " << result << "\n";
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return result;
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}
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#pragma endregion
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#pragma endregion
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@ -337,6 +433,7 @@ 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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hiddenSize = 0;
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input = NULL;
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hiddenLayers = NULL;
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@ -348,17 +445,28 @@ float RandomFloat(int min, int max)
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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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if(!input)
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{
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std::clog << "Error Create NeuralNetwork: Memory Couldn't Allocated for Input Layer!" << "\n";
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std::cout << "Girdi Katmani Olusturulamadi!" << "\n";
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}
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if(!hiddenLayers)
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{
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std::clog << "Error Create NeuralNetwork: Memory Couldn't Allocated for Hidden Layers!" << "\n";
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std::cout << "Ara Katmanlar Olusturulamadi!" << "\n";
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}
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if(!output)
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{
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std::clog << "Error Create NeuralNetwork: Memory Couldn't Allocated for Output Layer!" << "\n";
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std::cout << "Cikti Katmani Olusturulamadi!" << "\n";
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}
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if(!input || !hiddenLayers || !output)
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return;
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std::clog << "Create NeuralNetwork: Succesfull!" << "\n";
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this -> hiddenSize = hiddenSize;
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}
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|
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@ -371,30 +479,48 @@ float RandomFloat(int min, int max)
|
|||
|
||||
bool NeuralNetwork::SetHiddenLayerNeurons(int index, int size)
|
||||
{
|
||||
std::clog << "Call SetHiddenLayerNeurons: Size of " << size << " at Index of " << index << "\n";
|
||||
std::clog << "Call SetHiddenLayerNeurons: Creating " << size << " Neurons!" << "\n";
|
||||
Noron *neurons = new Noron[size];
|
||||
|
||||
if(!neurons)
|
||||
{
|
||||
std::clog << "Error Call SetHiddenLayerNeurons: Couldn't Allocate Memory for Neurons!" << "\n";
|
||||
return false;
|
||||
}
|
||||
std::clog << "Call SetHiddenLayerNeurons: Neurons Are Created!" << "\n";
|
||||
|
||||
return (hiddenLayers + index) -> SetNoron(neurons, size);
|
||||
}
|
||||
|
||||
bool NeuralNetwork::SetInputNeurons(int size)
|
||||
{
|
||||
std::clog << "Call SetInputNeurons: Size of " << size << "\n";
|
||||
std::clog << "Call SetInputNeurons: Creating " << size << " Neurons!" << "\n";
|
||||
Noron *neurons = new Noron[size];
|
||||
|
||||
if(!neurons)
|
||||
{
|
||||
std::clog << "Error Call SetInputNeurons: Couldn't Allocate Memory for Neurons!" << "\n";
|
||||
return false;
|
||||
}
|
||||
std::clog << "Call SetInputNeurons: Neurons Are Created!" << "\n";
|
||||
|
||||
return output -> SetNoron(neurons, size);
|
||||
}
|
||||
|
||||
bool NeuralNetwork::SetOutputNeurons(int size)
|
||||
{
|
||||
std::clog << "Call SetInputNeurons: Size of " << size << "\n";
|
||||
std::clog << "Call SetInputNeurons: Creating " << size << " Neurons!" << "\n";
|
||||
Noron *neurons = new Noron[size];
|
||||
|
||||
if(!neurons)
|
||||
{
|
||||
std::clog << "Error Call SetInputNeurons: Couldn't Allocate Memory for Neurons!" << "\n";
|
||||
return false;
|
||||
}
|
||||
std::clog << "Call SetInputNeurons: Neurons Are Created!" << "\n";
|
||||
|
||||
return input -> SetNoron(neurons, size);
|
||||
}
|
||||
|
|
@ -402,49 +528,77 @@ float RandomFloat(int min, int max)
|
|||
bool NeuralNetwork::ConnectLayers()
|
||||
{
|
||||
if(!input -> SetForward(hiddenLayers))
|
||||
{
|
||||
std::clog << "Call ConnectLayers: Input Couldn't Set to Forward!" << "\n";
|
||||
return false;
|
||||
}
|
||||
std::clog << "Call 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";
|
||||
return false;
|
||||
}
|
||||
std::clog << "Call 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";
|
||||
return false;
|
||||
}
|
||||
std::clog << "Call ConnectLayers: Output is Set to Forward Successfully!" << "\n";
|
||||
|
||||
return output -> SetForward(NULL);
|
||||
}
|
||||
|
||||
void NeuralNetwork::FireNetwork()
|
||||
{
|
||||
input -> FireLayer();
|
||||
// input -> FireLayer();
|
||||
// std::clog << "Call FireNetwork: Input Fired!" << "\n";
|
||||
|
||||
for (int i = 0; i < hiddenSize; i++)
|
||||
{
|
||||
(hiddenLayers + i) -> FireLayer();
|
||||
std::clog << "Call FireNetwork: Hidden Layer " << i << " Fired!" << "\n";
|
||||
}
|
||||
|
||||
output -> FireLayer();
|
||||
std::clog << "Call FireNetwork: Output Fired!" << "\n";
|
||||
}
|
||||
|
||||
void NeuralNetwork::SetInput(int index, float value)
|
||||
{
|
||||
if(!input)
|
||||
{
|
||||
std::clog << "Call SetInput: There's no Input Layer Set!" << "\n";
|
||||
return;
|
||||
}
|
||||
|
||||
std::clog << "Call SetInput -> Input SetValue: SetValue(" << index << ", " << value << ")!" << "\n";
|
||||
input -> SetValue(index, value);
|
||||
}
|
||||
|
||||
void NeuralNetwork::RandomizeNetworkValues()
|
||||
{
|
||||
std::clog << "Call 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";
|
||||
(hiddenLayers + i) -> RandomizeSinapsValues();
|
||||
}
|
||||
|
||||
std::clog << "Call RandomizeNetworkValues: Output Sinapses Are Getting Randomized!" << "\n";
|
||||
output -> RandomizeSinapsValues();
|
||||
}
|
||||
|
||||
float NeuralNetwork::GetOutputValue(int index)
|
||||
{
|
||||
return output -> GetValue(index);
|
||||
float result = output -> GetValue(index);
|
||||
std::clog << "Call GetOutputValue: " << result << "\n";
|
||||
return result;
|
||||
}
|
||||
#pragma endregion
|
||||
int main(int argc, char const *argv[])
|
||||
|
|
@ -467,17 +621,5 @@ int main(int argc, char const *argv[])
|
|||
std::cout << "m2\n";
|
||||
std::cout << network.GetOutputValue(0) << "\n";
|
||||
std::cout << "m3\n";
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
// Katman k1(5);
|
||||
// Katman k2(3);
|
||||
|
||||
// std::cout << "k1 SetForward = " << k1.SetForward(&k2) << "\n";
|
||||
// std::cout << "k2 SetForward = " << k2.SetForward(NULL) << "\n";
|
||||
// k1.FireLayer();
|
||||
// k2.FireLayer();
|
||||
return 0;
|
||||
}
|
||||
|
|
|
|||
Loading…
Reference in New Issue