Neural Networks on C#

// AForge Neural Net Library
//
// Copyright � Andrew Kirillov, 2005-2006
// andrew.kirillov@gmail.com
//

namespace AForge.Neuro
{
	using System;

	/// <summary>
	/// Distance layer
	/// </summary>
	/// 
	/// <remarks>Distance layer is a layer of <see cref="DistanceNeuron">distance neurons</see>.
	/// The layer is usually a single layer of such networks as Kohonen Self
	/// Organizing Map, Elastic Net, Hamming Memory Net.</remarks>
	/// 
	public class DistanceLayer : Layer
	{
		/// <summary>
		/// Layer's neurons accessor
		/// </summary>
		/// 
		/// <param name="index">Neuron index</param>
		/// 
		/// <remarks>Allows to access layer's neurons.</remarks>
		/// 
		public new DistanceNeuron this[int index]
		{
			get { return (DistanceNeuron) neurons[index]; }
		}


		/// <summary>
		/// Initializes a new instance of the <see cref="DistanceLayer"/> class
		/// </summary>
		/// 
		/// <param name="neuronsCount">Layer's neurons count</param>
		/// <param name="inputsCount">Layer's inputs count</param>
		/// 
		/// <remarks>The new layet will be randomized (see <see cref="Neuron.Randomize"/>
		/// method) after it is created.</remarks>
		/// 
		public DistanceLayer( int neuronsCount, int inputsCount )
						: base( neuronsCount, inputsCount )
		{
			// create each neuron
			for ( int i = 0; i < neuronsCount; i++ )
				neurons[i] = new DistanceNeuron( inputsCount );
		}
	}
}