/// <summary>
/// Creates a Recurrent Neural Network with the specified number of layers and one output Neuron.
/// </summary>
/// <param name="layerSize"></param>
public RecurrentNetwork(NetworkConfiguration configuration, params int[] layerSize)
{
this.Configuration = configuration;
configuration.InitialiseRandom();
layers = new Layer[layerSize.Length];
for (int i = 0; i < layers.Length - 1; i++)
{
//layers[i] = new FeedForwardLayer(layerSize[i + 1], layerSize[i]);
layers[i] = new RecurrentLayer(configuration, layerSize[i + 1], layerSize[i]);
}
layers[layers.Length - 1] = new FeedForwardLayer(configuration, 1, layerSize[layerSize.Length - 1]);
}