NearNeural

Class WeightedThresholdModel

java.lang.Object

NearNeural.WeightedThresholdModel

Direct Known Subclasses:

HyperbolicTangentThresholdModel, LinearThresholdModel, SigmoidThresholdModel, SinusoidalThresholdModel

public abstract class WeightedThresholdModel
extends java.lang.Object

This class contains the necessary code to implement coefficient management in order to adjust a thresholding function. Extend this class if you wish to use a coefficient in your thresholding algorithm, where k affects steepness.

Version:

0.3

Author:

Stephen Wattam

Field Summary

Fields

Modifier and Type	Field and Description
protected double	k The coefficient value (steepness).

Constructor Summary

Constructors

Constructor and Description
WeightedThresholdModel(double p_k) Cannot be called directly: allows subclasses to create weighted copies.

Method Summary

Methods

Modifier and Type	Method and Description
double	getK() Returns the coefficient of the function.
void	setK(double p_k) Sets the coefficient of the running function (steepness).

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

k

protected double k

The coefficient value (steepness).

Constructor Detail

WeightedThresholdModel

public WeightedThresholdModel(double p_k)

Cannot be called directly: allows subclasses to create weighted copies.

Parameters:

p_k - The coefficient requested.

Method Detail

getK

public double getK()

Returns the coefficient of the function.

Returns:

K, the coefficient of the function (steepnes)

setK

public void setK(double p_k)

Sets the coefficient of the running function (steepness).

Parameters:

p_k - The new coefficient to set