Class FuzzyART

Inheritance
Object
FuzzyART
Inherited Members
Namespace: NeuralNets
Assembly: AudioAnalysisTools.dll
Syntax
public sealed class FuzzyART

Constructors

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FuzzyART(Int32, Int32)

Initializes a new instance of the FuzzyART class. CONSTRUCTOR.

Declaration
public FuzzyART(int IPSize, int F2Size)
Parameters
Type Name Description
Int32 IPSize
Int32 F2Size

Fields

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IterToConv

Declaration
public int[] IterToConv
Field Value
Type Description
Int32[]

Properties

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alpha

Declaration
public double alpha { get; set; }
Property Value
Type Description
Double
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beta

Declaration
public double beta { get; set; }
Property Value
Type Description
Double
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F1Size

Declaration
public int F1Size { get; set; }
Property Value
Type Description
Int32
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F2Size

Declaration
public int F2Size { get; set; }
Property Value
Type Description
Int32
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F2Wins

Declaration
public int[] F2Wins { get; set; }
Property Value
Type Description
Int32[]
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inputCategory

Declaration
public int[] inputCategory { get; set; }
Property Value
Type Description
Int32[]
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IPSize

Declaration
public int IPSize { get; set; }
Property Value
Type Description
Int32
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prevCategory

Declaration
public int[] prevCategory { get; set; }
Property Value
Type Description
Int32[]
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rho

Declaration
public double rho { get; set; }
Property Value
Type Description
Double
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rhoStar

Declaration
public double rhoStar { get; set; }
Property Value
Type Description
Double
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theta

Declaration
public double theta { get; set; }
Property Value
Type Description
Double

Methods

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ChangeWts(Double[], Double[])

original Pascal header was: Procedure ChangeWtsFuzzyART(var index:word).

Declaration
public int ChangeWts(double[] IP, double[] OP)
Parameters
Type Name Description
Double[] IP
Double[] OP
Returns
Type Description
Int32
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ChangeWtsOfCommittedNode(Double[], Int32)

change weights of a committed node if beta = 1 then fast learning, if beta = 0 then leader learning ie no change of wts.

Declaration
public void ChangeWtsOfCommittedNode(double[] IP, int index)
Parameters
Type Name Description
Double[] IP
Int32 index
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ChangeWtsOfFirstUncommittedNode(Double[])

Declaration
public int ChangeWtsOfFirstUncommittedNode(double[] IP)
Parameters
Type Name Description
Double[] IP
Returns
Type Description
Int32
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ClusterWithFuzzyART(Double[,], out Int32)

Declaration
public static int[] ClusterWithFuzzyART(double[, ] trainingData, out int noOfCommittedF2Nodes)
Parameters
Type Name Description
Double[,] trainingData
Int32 noOfCommittedF2Nodes
Returns
Type Description
Int32[]
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ComplementCode(Double[])

Declaration
public double[] ComplementCode(double[] IP)
Parameters
Type Name Description
Double[] IP
Returns
Type Description
Double[]
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ContrastEnhance(Double[])

Declaration
public double[] ContrastEnhance(double[] data)
Parameters
Type Name Description
Double[] data
Returns
Type Description
Double[]
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CountCommittedF2Nodes()

Declaration
public int CountCommittedF2Nodes()
Returns
Type Description
Int32
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FuzzyAND(Double[], Double[])

Declaration
public static double[] FuzzyAND(double[] vect1, double[] vect2)
Parameters
Type Name Description
Double[] vect1
Double[] vect2
Returns
Type Description
Double[]
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FuzzyMagnitudeOf(Int32, Double[])

Declaration
public static double FuzzyMagnitudeOf(int n, double[] vector)
Parameters
Type Name Description
Int32 n
Double[] vector
Returns
Type Description
Double
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FuzzyMatch(Double[], Double[])

Declaration
public double FuzzyMatch(double[] IP, double[] wtsj)
Parameters
Type Name Description
Double[] IP
Double[] wtsj
Returns
Type Description
Double
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FuzzyNorm(Double[])

Declaration
public static double FuzzyNorm(double[] data)
Parameters
Type Name Description
Double[] data
Returns
Type Description
Double
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GetOneIPVector(Int32, Double[,])

Declaration
public double[] GetOneIPVector(int sigID, double[, ] data)
Parameters
Type Name Description
Int32 sigID
Double[,] data
Returns
Type Description
Double[]
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IndexOfFirstUncommittedNode()

returns -1 if all F2 nodes committed.

Declaration
public int IndexOfFirstUncommittedNode()
Returns
Type Description
Int32
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IndexOfMaxF2Unit(Double[])

Declaration
public int IndexOfMaxF2Unit(double[] OP)
Parameters
Type Name Description
Double[] OP
Returns
Type Description
Int32
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InitialiseArrays()

Declaration
public void InitialiseArrays()
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NormaliseFuzzyVector(Double[])

Declaration
public static double[] NormaliseFuzzyVector(double[] data)
Parameters
Type Name Description
Double[] data
Returns
Type Description
Double[]
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PropagateIPToF2(Double[])

Only calculate ouputs for committed nodes. THe uncommitted OPs remain = 0.

Declaration
public double[] PropagateIPToF2(double[] IP)
Parameters
Type Name Description
Double[] IP
Returns
Type Description
Double[]
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RepeatClusterWithFuzzyART(Double[,], out Int32)

Declaration
public static int[] RepeatClusterWithFuzzyART(double[, ] trainingData, out int committedNodeCount)
Parameters
Type Name Description
Double[,] trainingData
Int32 committedNodeCount
Returns
Type Description
Int32[]
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RepeatTrainNet(Double[,], Int32, Int32, Int32, Int32)

Declaration
public void RepeatTrainNet(double[, ] dataArray, int maxIter, int repNum, int seed, int code)
Parameters
Type Name Description
Double[,] dataArray
Int32 maxIter
Int32 repNum
Int32 seed
Int32 code
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SetParameterValues(Double, Double, Double, Double)

Declaration
public void SetParameterValues(double alpha, double beta, double rho, double theta)
Parameters
Type Name Description
Double alpha
Double beta
Double rho
Double theta
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TrainNet(Double[,], Int32, Int32)

Declaration
public Tuple<int, int> TrainNet(double[, ] dataArray, int maxIter, int seed)
Parameters
Type Name Description
Double[,] dataArray
Int32 maxIter
Int32 seed
Returns
Type Description
Tuple<Int32, Int32>
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WriteParameters()

Declaration
public void WriteParameters()

Extension Methods