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Neural Dot Net Pt 11 A Conclusion Of Sorts

, 9 Dec 2003
A neural network library in C#.
neural_dot_net_2002.zip
Neural Dot Net 2002
App.ico
bin
Debug
AdalineWordFile.dat
adalinewordWorkingFile.wrk
adword.trn
App.ico
BackpropagationWorkingFile.wrk
Lin2Var.trn
Neural Dot Net 2002.exe
Neural Net Library.dll
SelfOrganizingNetworkOne.trn
SelfOrganizingNetworkOne.wrk
SelfOrganizingNetworkOneTest.tst
SharpUtils.dll
equations.Bak
Neural Dot Net 2002.csproj.user
Neural Net Library
bin
Debug
Neural Net Library.csproj.user
obj
Debug
temp
TempPE
SharpUtils
bin
Debug
obj
Debug
temp
TempPE
SharpUtils.csproj.user

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();
			}
		}

	}
	
}

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pseudonym67

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