Neural Dot Net Pt 3 The Adaline Network

using System;
using SharpUtils;
using System.Collections;
using System.Text;
using System.Xml.Serialization;
using System.Xml;

namespace Neural_Net_Library
{


	/// <summary>
	/// Back Propagation Word pattern class 
	/// </summary>
	public class BackPropagationWordPattern : AdalineWordPattern
	{

		private DebugLevel debugLevel;
		private Logger log;

		/// <summary>
		/// constructor
		/// </summary>
		public BackPropagationWordPattern( Logger log ) : base( log )
		{
			debugLevel = new DebugLevel( DebugLevel.currentLevel );
			this.log = log;

		}

		/// <summary>
		/// constructor taking the input and the output sizes
		/// </summary>
		/// <param name="nInSize"></param>
		/// <param name="nOutSize"></param>
		public BackPropagationWordPattern( Logger log, int nInSize, int nOutSize ) : base( log, nInSize, nOutSize )
		{
			debugLevel = new DebugLevel( DebugLevel.currentLevel );
			this.log = log;

		}

		public BackPropagationWordPattern( Logger log, string strOne, string strTwo, double dOutput ) : base( log )
		{
			debugLevel = new DebugLevel( DebugLevel.currentLevel );
			this.log = log;

			this.InSet.Add( strOne );
			this.InSet.Add( strTwo );
			this.OutSet.Add( dOutput );

		}


		public BackPropagationWordPattern( Logger log, ArrayList arrayInSet, ArrayList arrayOutSet ) : base( log, arrayInSet, arrayOutSet )
		{
			debugLevel = new DebugLevel( DebugLevel.currentLevel );
			this.log = log;
		}

		public new double GetInSetAt( int nID )
		{
			/// calculate the value for the string

			if( nID >= this.InSet.Count )
			{
				if( debugLevel.TestDebugLevel( DebugLevelSet.WarningsAndErrors ) == true )
				{
					log.Log( DebugLevelSet.WarningsAndErrors, "Warning the value passed to back propagation word GetInSetAt, access value is greater than array count, accessor = " + nID.ToString(), ClassName );  
				}

				return 0.0;
			}
			
			double dValue = 0;
			string strTemp = this.InSet[ nID ].ToString();
			for( int i=0; i<strTemp.Length; i++ )
			{
				dValue += strTemp[ i ] * ( i+1 );
			}

			StringBuilder strBuilder = new StringBuilder();
			
			/// move decimal place
			dValue = dValue / 100000;

			if( dValue < 0 )
			{
				StringBuilder strTempNum = new StringBuilder( dValue.ToString() );
				strTempNum.Remove( 0, 1 );
				strBuilder.Append( strTempNum );
				strBuilder.Insert( 0, '-' );
			}
			else
			{
				strBuilder.Append( dValue.ToString() );
			}

			return Double.Parse( strBuilder.ToString() );
		}


		public new string Data()
		{
			StringBuilder strString = new StringBuilder();
			strString.Append( "Pattern ID = " + this.PatternID.ToString() );
			for( int n=0; n<this.InputSize(); n++ )
				strString.Append(  this.InSet[ n ].ToString() + " " );

			return strString.ToString();
		}

		public new string ClassName
		{
			get
			{
				return this.ToString();
			}
		}

	}
	
}