C# Class numl.Supervised.NeuralNetwork.Edge

Inheritance: IXmlSerializable

Afficher le fichier Open project: sethjuarez/numl Class Usage Examples

Méthodes publiques

Méthode	Description
Create ( Neuron source, Neuron target, double weight = double.NaN, double epsilon = double.NaN ) : Edge	Creates a new Edge.
Edge ( ) : System	Default constructor.
GetEpsilon ( double min, double max, double inputs, double outputs ) : double	Computes the weight epsilon parameter.
GetWeight ( double epsilon ) : double	Computes a new weight from the interval: -epsilon to +epsilon.
ToString ( ) : string	Returns a string that represents the current object.

Method Details

Create() public static méthode

Creates a new Edge.

public static Create ( Neuron source, Neuron target, double weight = double.NaN, double epsilon = double.NaN ) : Edge
source	Neuron	Source for the.
target	Neuron	Target for the.
weight	double	Weight parameter to initialize with.
epsilon	double	Seed value to use when randomly selecting a weight (ignored when is supplied). /// The weight is then chosen from the open interval: -epsilon to +epsilon. ///
Résultat	Edge

Edge() public méthode

Default constructor.

public Edge ( ) : System
Résultat	System

GetEpsilon() public static méthode

Computes the weight epsilon parameter.

public static GetEpsilon ( double min, double max, double inputs, double outputs ) : double
min	double	Minimum activation function value.
max	double	Maximum activation function value.
inputs	double	Number of inward connections to the current node.
outputs	double	Number of outward connections from the current node.
Résultat	double

GetWeight() public static méthode

Computes a new weight from the interval: -epsilon to +epsilon.

public static GetWeight ( double epsilon ) : double
epsilon	double	Precomputed epsilon for computing a
Résultat	double

ToString() public méthode

Returns a string that represents the current object.

public ToString ( ) : string
Résultat	string