public void MakeLearningProcess(int SpecimenCount, float mutChance, float selectPercent, bool overrideLearningProcess = false)
{
if (overrideLearningProcess || HiddenLayersSettings == null || NeuronTypesSettings == null)
{
neuronDefinitionsPanelScript.GetNeuronDefinitions(out HiddenLayersSettings, out NeuronTypesSettings);
HiddenLayersSettings.Insert(0, 6);
}
PercentToSelect = selectPercent;
MutationChance = mutChance;
config.PercentToSelect = selectPercent;
config.MutationChance = mutChance;
config.SetParentChoosingMethod(parentChoosingMethod);
config.RandOptions.Sigma = sigma;
if (overrideLearningProcess || learningProcess == null)
{
learningProcess =
new LearningProcess(
SpecimenCount, config,
HiddenLayersSettings,
NeuronTypesSettings
);
}
else
{
Debug.Log("Istniał Learning Process");
//learningProcess.PopulationCount = Specimen.Length;
}
learningProcess.LearningAlgorithm.Config = config;
}
void Awake()
{
config = new GeneticAlgorithmConfig();
config.RandOptions = new RandomizerOptions(-1, 1);
config.PercentToSelect = PercentToSelect;
config.MutationChance = MutationChance;
//config.ParentChances = Chances;
config.SetParentChoosingMethod(parentChoosingMethod);
Application.runInBackground = true;
}
public Classification()
{
GeneticAlgorithmConfig config = new GeneticAlgorithmConfig();
config.RandOptions = new RandomizerOptions(-1, 1, 0.2);
config.PercentToSelect = 0.5;
config.MutationChance = 0.2;
config.SetParentChoosingMethod(ParentChoosingMethod.PositionLinear);
process = new LearningProcess(populationCount, config, new List <int> {
2, 4, 2
}, new List <Type>()
{
typeof(TanHNeuron), typeof(StepNeuron)
});
}
public Perceptron()
{
GeneticAlgorithmConfig config = new GeneticAlgorithmConfig();
config.RandOptions = new RandomizerOptions(-1, 1, 0.05);
config.PercentToSelect = 0.4;
config.MutationChance = 0.005;
config.SetParentChoosingMethod(ParentChoosingMethod.Geom);
process = new LearningProcess(populationCount, config, new List <int> {
3, 100, 2
}, new List <Type>()
{
typeof(IdentityNeuron), typeof(IdentityNeuron)
});
}
