/// <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;
        }
Exemple #2
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 /// <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)
 {
 }