Neural Networks on C#

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

namespace AForge.Neuro
{
	using System;

	/// <summary>
	/// Distance network
	/// </summary>
	///
	/// <remarks>Distance network is a neural network of only one <see cref="DistanceLayer">distance
	/// layer</see>. The network is a base for such neural networks as SOM, Elastic net, etc.
	/// </remarks>
	///
	public class DistanceNetwork : Network
	{
		/// <summary>
		/// Network's layers accessor
		/// </summary>
		/// 
		/// <param name="index">Layer index</param>
		/// 
		/// <remarks>Allows to access network's layer.</remarks>
		/// 
		public new DistanceLayer this[int index]
		{
			get { return ( (DistanceLayer) layers[index] ); }
		}

		/// <summary>
		/// Initializes a new instance of the <see cref="DistanceNetwork"/> class
		/// </summary>
		/// 
		/// <param name="inputsCount">Network's inputs count</param>
		/// <param name="neuronsCount">Network's neurons count</param>
		/// 
		/// <remarks>The new network will be randomized (see <see cref="Neuron.Randomize"/>
		/// method) after it is created.</remarks>
		/// 
		public DistanceNetwork( int inputsCount, int neuronsCount )
						: base( inputsCount, 1 )
		{
			// create layer
			layers[0] = new DistanceLayer( neuronsCount, inputsCount );
		}

		/// <summary>
		/// Get winner neuron
		/// </summary>
		/// 
		/// <returns>Index of the winner neuron</returns>
		/// 
		/// <remarks>The method returns index of the neuron, which weights have
		/// the minimum distance from network's input.</remarks>
		/// 
		public int GetWinner( )
		{
			// find the MIN value
			double	min = output[0];
			int		minIndex = 0;

			for ( int i = 1, n = output.Length; i < n; i++ )
			{
				if ( output[i] < min )
				{
					// found new MIN value
					min = output[i];
					minIndex = i;
				}
			}

			return minIndex;
		}
	}
}