C# 클래스 numl.Supervised.NeuralNetwork.Edge

상속: IXmlSerializable

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공개 메소드들

메소드	설명
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.

메소드 상세

Create() 공개 정적인 메소드

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. ///
리턴	Edge

Edge() 공개 메소드

Default constructor.

public Edge ( ) : System
리턴	System

GetEpsilon() 공개 정적인 메소드

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.
리턴	double

GetWeight() 공개 정적인 메소드

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

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

ToString() 공개 메소드

Returns a string that represents the current object.

public ToString ( ) : string
리턴	string