//Instance methods
/// <summary>
/// See the base.
/// </summary>
public override bool Equals(object obj)
{
if (obj == null)
{
return(false);
}
FeedForwardNetworkSettings cmpSettings = obj as FeedForwardNetworkSettings;
if (!Equals(OutputLayerActivation, cmpSettings.OutputLayerActivation) ||
!Equals(OutputRange, cmpSettings.OutputRange) ||
HiddenLayerCollection.Count != cmpSettings.HiddenLayerCollection.Count ||
!Equals(TrainerCfg, cmpSettings.TrainerCfg)
)
{
return(false);
}
for (int i = 0; i < HiddenLayerCollection.Count; i++)
{
if (!HiddenLayerCollection[i].Equals(cmpSettings.HiddenLayerCollection[i]))
{
return(false);
}
}
return(true);
}
/// <summary>
/// The deep copy constructor
/// </summary>
/// <param name="source">Source instance</param>
public FeedForwardNetworkSettings(FeedForwardNetworkSettings source)
{
OutputLayerActivation = null;
OutputRange = null;
if (source.OutputLayerActivation != null)
{
OutputLayerActivation = ActivationFactory.DeepCloneActivationSettings(source.OutputLayerActivation);
OutputRange = source.OutputRange.DeepClone();
}
RegressionMethod = source.RegressionMethod;
HiddenLayerCollection = new List <HiddenLayerSettings>(source.HiddenLayerCollection.Count);
foreach (HiddenLayerSettings shls in source.HiddenLayerCollection)
{
HiddenLayerCollection.Add(shls.DeepClone());
}
LinRegrTrainerCfg = null;
RPropTrainerCfg = null;
if (source.LinRegrTrainerCfg != null)
{
LinRegrTrainerCfg = source.LinRegrTrainerCfg.DeepClone();
}
if (source.RPropTrainerCfg != null)
{
RPropTrainerCfg = source.RPropTrainerCfg.DeepClone();
}
return;
}
/// <summary>
/// Instantiates an initialized feed forward network
/// </summary>
/// <param name="numOfInputValues">Number of network's input values</param>
/// <param name="numOfOutputValues">Number of network's output values</param>
/// <param name="settings">Configuration parameters</param>
public FeedForwardNetwork(int numOfInputValues, int numOfOutputValues, FeedForwardNetworkSettings settings)
: this(numOfInputValues, numOfOutputValues)
{
//Initialize FF network
for (int i = 0; i < settings.HiddenLayerCollection.Count; i++)
{
AddLayer(settings.HiddenLayerCollection[i].NumOfNeurons,
ActivationFactory.Create(settings.HiddenLayerCollection[i].Activation)
);
}
FinalizeStructure(ActivationFactory.Create(settings.OutputLayerActivation));
return;
}
/// <summary>
/// Creates the deep copy instance of this instance
/// </summary>
public FeedForwardNetworkSettings DeepClone()
{
FeedForwardNetworkSettings clone = new FeedForwardNetworkSettings(this);
return(clone);
}
