org.neuroph.core.transfer

Class Linear

java.lang.Object

org.neuroph.core.transfer.TransferFunction

org.neuroph.core.transfer.Linear

All Implemented Interfaces:

Serializable

public class Linear
extends TransferFunction
implements Serializable

Linear neuron transfer function.

Author:

Zoran Sevarac

See Also:

Serialized Form

Field Summary

Fields inherited from class org.neuroph.core.transfer.TransferFunction

output

Constructor Summary

Constructors

Constructor and Description
Linear() Creates an instance of Linear transfer function
Linear(double slope) Creates an instance of Linear transfer function with specified value for getSlope parametar.
Linear(Properties properties) Creates an instance of Linear transfer function with specified properties

Method Summary

Modifier and Type	Method and Description
double	getDerivative(double net) Returns the first derivative of this function.
double	getOutput(double net) Returns the ouput of this function.
double	getSlope() Returns the slope parametar of this function
void	setSlope(double slope) Sets the slope parametar for this function

Methods inherited from class java.lang.Object

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

Constructor Detail

Linear

public Linear()

Creates an instance of Linear transfer function

Linear

public Linear(double slope)

Creates an instance of Linear transfer function with specified value for getSlope parametar.

Linear

public Linear(Properties properties)

Creates an instance of Linear transfer function with specified properties

Method Detail

getSlope

public double getSlope()

Returns the slope parametar of this function

Returns:

slope parametar of this function

setSlope

public void setSlope(double slope)

Sets the slope parametar for this function

Parameters:

slope - value for the slope parametar

getOutput

public double getOutput(double net)

Description copied from class: TransferFunction

Returns the ouput of this function.

Specified by:

getOutput in class TransferFunction

Parameters:

net - total input

getDerivative

public double getDerivative(double net)

Description copied from class: TransferFunction

Returns the first derivative of this function. Note: should this method should be abstract?

Overrides:

getDerivative in class TransferFunction

Parameters:

net - total input