C# Class CnrsUniProv.OCodeHtm.SpatialNode2DGaussian

Inheritance: SpatialNode2D

Afficher le fichier Open project: neural5torm/OCodeHtm Class Usage Examples

Méthodes publiques

Méthode	Description
GetClone ( ) : Vector>.SpatialNode
Infer ( MathNet.Numerics.LinearAlgebra.Double.SparseMatrix input ) : Vector	Do Flash inference for the given input
Learn ( MathNet.Numerics.LinearAlgebra.Double.SparseMatrix input ) : void	Learn the current input.
SpatialNode2DGaussian ( double maxDistance = Default.MaxDistance, double sigma = Default.NoSigma, int maxOutputSize = Default.MaxNodeOutputSize ) : System
TimeInfer ( MathNet.Numerics.LinearAlgebra.Double.SparseMatrix input ) : Vector	Do Time-based inference for the given input

Méthodes protégées

Méthode	Description
FindClosestCoincidence ( MathNet.Numerics.LinearAlgebra.Double.SparseMatrix input, MathNet.Numerics.LinearAlgebra.Double.SparseMatrix &canonicalInput ) : MathNet.Numerics.LinearAlgebra.Double.SparseMatrix

Private Methods

Méthode	Description
FindClosestCoincidence ( MathNet.Numerics.LinearAlgebra.Double.SparseMatrix input ) : MathNet.Numerics.LinearAlgebra.Double.SparseMatrix

Method Details

FindClosestCoincidence() protected méthode

protected FindClosestCoincidence ( MathNet.Numerics.LinearAlgebra.Double.SparseMatrix input, MathNet.Numerics.LinearAlgebra.Double.SparseMatrix &canonicalInput ) : MathNet.Numerics.LinearAlgebra.Double.SparseMatrix
input	MathNet.Numerics.LinearAlgebra.Double.SparseMatrix
canonicalInput	MathNet.Numerics.LinearAlgebra.Double.SparseMatrix
Résultat	MathNet.Numerics.LinearAlgebra.Double.SparseMatrix

GetClone() public méthode

public GetClone ( ) : Vector>.SpatialNode
Résultat	Vector>.SpatialNode

Infer() public méthode

Do Flash inference for the given input

public Infer ( MathNet.Numerics.LinearAlgebra.Double.SparseMatrix input ) : Vector
input	MathNet.Numerics.LinearAlgebra.Double.SparseMatrix
Résultat	Vector

Learn() public méthode

Learn the current input.

public Learn ( MathNet.Numerics.LinearAlgebra.Double.SparseMatrix input ) : void
input	MathNet.Numerics.LinearAlgebra.Double.SparseMatrix
Résultat	void

SpatialNode2DGaussian() public méthode

public SpatialNode2DGaussian ( double maxDistance = Default.MaxDistance, double sigma = Default.NoSigma, int maxOutputSize = Default.MaxNodeOutputSize ) : System
maxDistance	double
sigma	double
maxOutputSize	int
Résultat	System

TimeInfer() public méthode

Do Time-based inference for the given input

public TimeInfer ( MathNet.Numerics.LinearAlgebra.Double.SparseMatrix input ) : Vector
input	MathNet.Numerics.LinearAlgebra.Double.SparseMatrix
Résultat	Vector