C# 클래스 Encog.Neural.SOM.Training.Neighborhood.BestMatchingUnit

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공개 메소드들

메소드	설명
BestMatchingUnit ( SOMNetwork som ) : System	Construct a BestMatchingUnit class. The training class must be provided.
CalculateBMU ( IMLData input ) : int	Calculate the best matching unit (BMU). This is the output neuron that has the lowest Euclidean distance to the input vector.
CalculateEuclideanDistance ( Matrix matrix, IMLData input, int outputNeuron ) : double	Calculate the Euclidean distance for the specified output neuron and the input vector. This is the square root of the squares of the differences between the weight and input vectors.
Reset ( ) : void	Reset the "worst distance" back to a minimum value. This should be called for each training iteration.

메소드 상세

BestMatchingUnit() 공개 메소드

Construct a BestMatchingUnit class. The training class must be provided.

public BestMatchingUnit ( SOMNetwork som ) : System
som	Encog.Neural.SOM.SOMNetwork	The SOM to evaluate.
리턴	System

CalculateBMU() 공개 메소드

Calculate the best matching unit (BMU). This is the output neuron that has the lowest Euclidean distance to the input vector.

public CalculateBMU ( IMLData input ) : int
input	IMLData	The input vector.
리턴	int

CalculateEuclideanDistance() 공개 메소드

Calculate the Euclidean distance for the specified output neuron and the input vector. This is the square root of the squares of the differences between the weight and input vectors.

public CalculateEuclideanDistance ( Matrix matrix, IMLData input, int outputNeuron ) : double
matrix	Matrix	The matrix to get the weights from.
input	IMLData	The input vector.
outputNeuron	int	The neuron we are calculating the distance for.
리턴	double

Reset() 공개 메소드

Reset the "worst distance" back to a minimum value. This should be called for each training iteration.

public Reset ( ) : void
리턴	void