private IMLMethod CreateJordanNetwork()
{
// construct an Jordan type network
var pattern = new JordanPattern
{
ActivationFunction = new ActivationSigmoid()
};
pattern.InputNeurons = 1;
pattern.AddHiddenLayer(2);
pattern.OutputNeurons = 1;
return(pattern.Generate());
}
/// <see cref="INetwork.BuildJordanNetwork"/>
public INetwork BuildJordanNetwork()
{
if (TrainedNetworkFile.Exists)
{
return(this);
}
var pattern = new JordanPattern {
ActivationFunction = new ActivationSigmoid(),
InputNeurons = InputCount,
OutputNeurons = OutputCount
};
var network = (BasicNetwork)pattern.Generate();
EncogDirectoryPersistence.SaveObject(TrainedNetworkFile, network);
TrainedNetworkFile = new FileInfo(TrainedNetworkFile.FullName);
return(this);
}
