/// <summary>
/// The deep copy constructor
/// </summary>
/// <param name="source">Source instance</param>
public FeedForwardNetworkSettings(FeedForwardNetworkSettings source)
{
OutputActivationCfg = ActivationFactory.DeepCloneActivationSettings(source.OutputActivationCfg);
OutputRange = source.OutputRange.DeepClone();
HiddenLayersCfg = (HiddenLayersSettings)source.HiddenLayersCfg.DeepClone();
TrainerCfg = source.TrainerCfg.DeepClone();
return;
}
//Methods
/// <summary>
/// Checks consistency
/// </summary>
protected override void Check()
{
if (NumOfNeurons < 1)
{
throw new ArgumentException($"Invalid NumOfNeurons {NumOfNeurons.ToString(CultureInfo.InvariantCulture)}. NumOfNeurons must be GT 0.", "NumOfNeurons");
}
if (!FeedForwardNetworkSettings.IsAllowedActivation(ActivationCfg, out _))
{
throw new ArgumentException($"Specified ActivationCfg can't be used in the hidden layer of a FF network. Activation function has to be stateless and has to support derivative calculation.", "ActivationCfg");
}
return;
}
/// <summary>
/// Creates an initialized instance.
/// </summary>
/// <param name="numOfInputValues">The number of the network's input values.</param>
/// <param name="numOfOutputValues">The number of the network's output values.</param>
/// <param name="cfg">The configuration of the network and associated trainer.</param>
public FeedForwardNetwork(int numOfInputValues, int numOfOutputValues, FeedForwardNetworkSettings cfg)
: this(numOfInputValues, numOfOutputValues)
{
Random rand = new Random(1);
//Initialize FF network
for (int i = 0; i < cfg.HiddenLayersCfg.HiddenLayerCfgCollection.Count; i++)
{
AddLayer(cfg.HiddenLayersCfg.HiddenLayerCfgCollection[i].NumOfNeurons,
(AFAnalogBase)ActivationFactory.CreateAF(cfg.HiddenLayersCfg.HiddenLayerCfgCollection[i].ActivationCfg, rand)
);
}
FinalizeStructure((AFAnalogBase)ActivationFactory.CreateAF(cfg.OutputActivationCfg, rand));
return;
}
/// <summary>
/// The deep copy constructor.
/// </summary>
/// <param name="source">The source instance.</param>
public FeedForwardNetworkSettings(FeedForwardNetworkSettings source)
: this(source.OutputActivationCfg, source.HiddenLayersCfg, source.TrainerCfg)
{
return;
}
