Syntriax/NeuralNetworkGenetic
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Asrın Doğan
2019-12-24 20:40:55 +03:00
parent df6028922a
commit 4475fd3c7f
1 changed files with 26 additions and 22 deletions
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48
Genetic.cpp
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@@ -923,46 +923,49 @@ int main()
for (floatCounter = 0; floatCounter < 5; floatCounter++)
fscanf(inputFile, "%f,", &trainInputs[inputCounter][floatCounter]);
fclose(inputFile);
inputFile = fopen("Data/test.data", "r");
for (inputCounter = 0; inputCounter < 120; inputCounter++)
for (floatCounter = 0; floatCounter < 5; floatCounter++)
fscanf(inputFile, "%f,", &testInputs[inputCounter][floatCounter]);
fclose(inputFile);
std::cout << "Inputs Are Getting Set: ";
std::cout << generation.SetInputNeurons(4) << "\n";
std::cout << "Hiddens Are Getting Set: ";
std::cout << generation.SetHiddenNeurons(0, 2) << "\n";
std::cout << "Hiddens Are Getting Set: ";
std::cout << generation.SetHiddenNeurons(1, 2) << "\n";
std::cout << "Hiddens Are Getting Set: ";
std::cout << generation.SetHiddenNeurons(2, 2) << "\n";
std::cout << "Hiddens Are Getting Set: ";
std::cout << generation.SetHiddenNeurons(3, 2) << "\n";
std::cout << "Hiddens Are Getting Set: ";
std::cout << generation.SetHiddenNeurons(4, 2) << "\n";
std::cout << "Inputs Are Getting Set: ";
std::cout << generation.SetOutputNeurons(1) << "\n";
std::cout << "Inputs Are Getting Set: ";
std::cout << (generation.SetInputNeurons(4) ? "Successfull!" : "Failed!") << "\n";
std::cout << "Hidden 1 Are Getting Set: ";
std::cout << (generation.SetHiddenNeurons(0, 2) ? "Successfull!" : "Failed!") << "\n";
std::cout << "Hidden 2 Are Getting Set: ";
std::cout << (generation.SetHiddenNeurons(1, 2) ? "Successfull!" : "Failed!") << "\n";
std::cout << "Hidden 3 Are Getting Set: ";
std::cout << (generation.SetHiddenNeurons(2, 2) ? "Successfull!" : "Failed!") << "\n";
std::cout << "Hidden 4 Are Getting Set: ";
std::cout << (generation.SetHiddenNeurons(3, 2) ? "Successfull!" : "Failed!") << "\n";
std::cout << "Hidden 5 Are Getting Set: ";
std::cout << (generation.SetHiddenNeurons(4, 2) ? "Successfull!" : "Failed!") << "\n";
std::cout << "Outputs Are Getting Set: ";
std::cout << (generation.SetOutputNeurons(1) ? "Successfull!" : "Failed!") << "\n";
std::cout << "Networks Are Getting Connected: ";
std::cout << generation.ConnectNetworks() << "\n";
std::cout << (generation.ConnectNetworks() ? "Successfull!" : "Failed!") << "\n";
generation.Randomize();
do
{
std::cout << "-2 - Test\n-3 - Best to File\nAny Number for train count\n-1 - Exit\nDecision: ";
std::cout << "[-1] Test\n[-2] Best to File\n[-3] Exit\nAny Positive Number for train count\nDecision: ";
std::cin >> decision;
switch (decision)
{
case -3:
std::cout << "Exiting...\n";
break;
case -2:
generation.WriteBestToFile();
break;
default:
trainCounter = 0;
for (int lk = 0; lk < decision; lk++)
for (trainCounter = 0; trainCounter < decision; trainCounter++)
{
std::cout << trainCounter++ << "\n";
std::cout << (trainCounter + 1) << "\n";
for (inputCounter = 0; inputCounter < 10; inputCounter++)
{
generation.ResetScores();
@@ -978,9 +981,10 @@ int main()
generation.NextGeneration();
}
}
std::cout << "Best -> " << generation.GetError() << "\n";
std::cout << "Best Score -> " << generation.GetBestPrediction() << "\n";
std::cout << "Train is Over!\n";
case -2:
// break; To test it after the train is done
case -1:
outputFile = fopen("Data/results.data", "w");
for (inputCounter = 0; inputCounter < 120; inputCounter++)
{
@@ -996,7 +1000,7 @@ int main()
std::cout << "Test is Over!\n";
break;
}
} while (decision != -1);
} while (decision != -3);
return 0;
}