public static NeuralNetwork.NeuralNetwork CreateNeuralNetwork()
{
var neuralNetwork = new NeuralNetwork.NeuralNetwork
{
Bias = Settings.Default.Bias,
MinWeight = Settings.Default.MinWeight,
MaxWeight = Settings.Default.MaxWeight,
ActivationFunction = ActivationFunctionExtension.GetFunction(Settings.Default.ActivationFunction)
};
if (neuralNetwork.ActivationFunction is SigmoidFunction)
{
neuralNetwork.ActivationFunction = new SigmoidFunction(Settings.Default.T);
}
if (Settings.Default.HiddenLayers.Length > 0)
{
var prevSize = Settings.Default.InputLayerSize;
foreach (var hiddenLayer in Settings.Default.HiddenLayers)
{
neuralNetwork.AddLayer(new Layer(hiddenLayer, prevSize));
prevSize = hiddenLayer;
}
neuralNetwork.AddLayer(new Layer(Settings.Default.OutputLayerSize, prevSize));
}
else
{
neuralNetwork.AddLayer(new Layer(Settings.Default.OutputLayerSize, Settings.Default.InputLayerSize));
}
return(neuralNetwork);
}
private void ComboBoxActivationFunction_OnSelectionChanged(object sender, SelectionChangedEventArgs e)
{
Function = ActivationFunctionExtension.GetFunction(
(ActivationFunctionType)((ComboBox)sender).SelectedItem);
if (UpDownBias.Value == null)
{
return;
}
var bias = UpDownBias.Value.Value;
ActivationFunctionChartValues.ForEach(point => point.Y = Math.Round(Function.GetValue(point.X + bias), 3));
}
