| public AddHiddenLayer ( int count ) : void | ||
| count | int | The number of neurons in this hidden layer. |
| return | void | |
private IMLMethod CreateElmanNetwork()
{
// construct an Elman type network
var pattern = new ElmanPattern();
pattern.ActivationFunction = new ActivationSigmoid();
pattern.InputNeurons = 1;
pattern.AddHiddenLayer(6);
pattern.OutputNeurons = 1;
return pattern.Generate();
}
public static IMLMethod CreateElmanNetwork(int inputsize, int outputsize)
{
// construct an Elman type network
ElmanPattern pattern = new ElmanPattern();
pattern.ActivationFunction = new ActivationTANH();
pattern.InputNeurons = inputsize;
pattern.AddHiddenLayer(0);
pattern.OutputNeurons = outputsize;
return pattern.Generate();
}
/// <summary>
/// Creates the elman network as a basicnetwork.
/// This method create a elmhan patterns but returns a basic network (ready for load/save).
/// </summary>
/// <param name="inputsize">The inputsize.</param>
/// <param name="outputsize">The outputsize.</param>
/// <param name="hiddenlayers">The hiddenlayers.</param>
/// <param name="activate">The activation function to use..</param>
/// <returns>a basic network</returns>
public static BasicNetwork CreateElmanNetwork(int inputsize, int outputsize, int hiddenlayers,
IActivationFunction activate)
{
// construct an Elman type network
var pattern = new ElmanPattern {ActivationFunction = activate, InputNeurons = inputsize};
pattern.AddHiddenLayer(hiddenlayers);
pattern.OutputNeurons = outputsize;
return (BasicNetwork) pattern.Generate();
}
private IMLMethod CreateElmanNetwork(int input)
{
// construct an Elman type network
var pattern = new ElmanPattern
{
InputNeurons = input
};
pattern.AddHiddenLayer(2);
pattern.OutputNeurons = 1;
return pattern.Generate();
}