/// <summary>
/// Creates a new Kohonen SOM, with the specified input and output layers. (You are required
/// to connect all layers using appropriate synapses, before using the constructor. Any changes
/// made to the structure of the network here-after, may lead to complete malfunctioning of the
/// network)
/// </summary>
/// <param name="inputLayer">
/// The input layer
/// </param>
/// <param name="outputLayer">
/// The output layer
/// </param>
/// <exception cref="ArgumentNullException">
/// If <c>inputLayer</c> or <c>outputLayer</c> is <c>null</c>
/// </exception>
public KohonenNetworkND(ILayer inputLayer, KohonenLayerND outputLayer)
: base(inputLayer, outputLayer, TrainingMethod.Unsupervised)
{
}
/// <summary>
/// Creates new position neuron in n-dimensional space
/// </summary>
/// <param name="posVector">
/// Vector that defines the position of the neuron
/// <param name="parent">
/// Parent layer containing this neuron
/// </param>
/// <exception cref="ArgumentNullException">
/// If <c>parent</c> is <c>null</c>
/// </exception>
public PositionNeuron(int[] posVector, KohonenLayerND parentND)
{
this.coordinateND = posVector;
this.parentND = parentND;
}
