/// <summary>
/// Creates new positon neuron
/// </summary>
/// <param name="coordinate">
/// Neuron Position
/// </param>
/// <param name="parent">
/// Parent neuron containing this neuron
/// </param>
/// <value>
/// If <c>parent</c> is <c>null</c>
/// </value>
public PositionNeuron(Point coordinate, KohonenLayer parent)
{
Helper.ValidateNotNull(parent, "parent");
this.coordinate = coordinate;
this.parent = parent;
this.value = 0d;
}
/// <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 KohonenNetwork(ILayer inputLayer, KohonenLayer outputLayer)
: base(inputLayer, outputLayer, TrainingMethod.Unsupervised)
{
}
/// <summary>
/// Creates new position neuron
/// </summary>
/// <param name="x">
/// X-Coordinate of the neuron positon
/// </param>
/// <param name="y">
/// Y-Coordinate of the neuron position
/// </param>
/// <param name="parent">
/// Parent layer containing this neuron
/// </param>
/// <exception cref="ArgumentNullException">
/// If <c>parent</c> is <c>null</c>
/// </exception>
public PositionNeuron(int x, int y, KohonenLayer parent)
: this(new Point(x, y), parent)
{
}