org.neuroph.core.transfer

Class TransferFunction

java.lang.Object

org.neuroph.core.transfer.TransferFunction

All Implemented Interfaces:

java.io.Serializable

Direct Known Subclasses:

Gaussian, Linear, Log, Ramp, RectifiedLinear, Sgn, Sigmoid, Sin, SoftMax, Step, Tanh, Trapezoid

public abstract class TransferFunction
extends java.lang.Object
implements java.io.Serializable

Abstract base class for all neuron tranfer functions.

See Also:

Neuron, Serialized Form

Constructor Summary

Constructors

Constructor and Description
TransferFunction()

Method Summary

Modifier and Type	Method and Description
double	getDerivative(double totalInput) Returns the first derivative of this function.
abstract double	getOutput(double totalInput) Returns the ouput of this function.

Methods inherited from class java.lang.Object

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

Constructor Detail

TransferFunction

public TransferFunction()

Method Detail

getOutput

public abstract double getOutput(double totalInput)

Returns the ouput of this function.

Parameters:

totalInput - total input

getDerivative

public double getDerivative(double totalInput)

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

Parameters:

totalInput - total input