/// <summary>
/// Return a clone of the structure of this neural network.
/// </summary>
/// <returns>A cloned copy of the structure of the neural network.</returns>
public FeedforwardNetwork CloneStructure()
{
FeedforwardNetwork result = new FeedforwardNetwork();
foreach (FeedforwardLayer layer in this.layers)
{
FeedforwardLayer clonedLayer = new FeedforwardLayer(layer.NeuronCount);
result.AddLayer(clonedLayer);
}
return result;
}
/// <summary>
/// Add a layer to the neural network. The first layer added is the input
/// layer, the last layer added is the output layer.
/// </summary>
/// <param name="layer">The layer to be added.</param>
public void AddLayer(FeedforwardLayer layer)
{
// setup the forward and back pointer
if (this.outputLayer != null)
{
layer.Previous = this.outputLayer;
this.outputLayer.Next = layer;
}
// update the inputLayer and outputLayer variables
if (this.layers.Count == 0)
{
this.inputLayer = this.outputLayer = layer;
}
else
{
this.outputLayer = layer;
}
// add the new layer to the list
this.layers.Add(layer);
}
