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

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Открытые методы

Метод	Описание
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.

Описание методов

BestMatchingUnit() публичный Метод

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

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

CalculateBMU() публичный Метод

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.
Результат	int

CalculateEuclideanDistance() публичный Метод

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.
Результат	double

Reset() публичный Метод

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

public Reset ( ) : void
Результат	void