org.simnet.neurons
Class SigmoidalNeuron

java.lang.Object
  org.simnet.interfaces.Neuron
      org.simnet.neurons.SigmoidalNeuron

All Implemented Interfaces:

GaugeSource

public class SigmoidalNeuron
extends Neuron

SigmoidalNeuron.

Field Summary

static int	ARCTAN Arctan.
static int	BARE Tanh.
static int	SIGM Standard Sigmoidal.
static int	TANH Tanh.

Fields inherited from class org.simnet.interfaces.Neuron

activation, fanIn, fanOut, lowerBound, upperBound

Constructor Summary

SigmoidalNeuron()
Default constructor needed for external calls which create neurons then set their parameters.

SigmoidalNeuron(Neuron n)
This constructor is used when creating a neuron of one type from another neuron of another type Only values common to different types of neuron are copied.

Method Summary

Neuron	duplicate()
boolean	getAddNoise()
double	getBias()
boolean	getClipping()
static String[]	getFunctionList()
int	getImplementationIndex()
static String	getName()
RandomSource	getNoiseGenerator()
double	getSlope()
int	getTimeType()
void	setAddNoise(boolean addNoise)
void	setBias(double inflectionY)
void	setClipping(boolean clipping)
void	setImplementationIndex(int index)
void	setNoiseGenerator(RandomSource noise)
void	setSlope(double inflectionPointSlope)
void	update() Update neuron.

Methods inherited from class org.simnet.interfaces.Neuron

addActivation, addSource, addTarget, checkBounds, clear, clip, connectedToWeight, containsString, debug, decrementActivation, deleteConnectedSynapses, deleteFanIn, deleteFanOut, duplicate, getActivation, getAverageInput, getBuffer, getFanIn, getFanOut, getGaugeValue, getHelp, getId, getIncrement, getInputValue, getLowerBound, getMotorCoupling, getNeuronTypeIndex, getNumberOfActiveInputs, getParentNetwork, getSensoryCoupling, getSummedIncomingWeights, getToolTipText, getTotalInput, getType, getTypeList, getUpperBound, getWeightedInputs, getX, getY, incrementActivation, initCastor, isInput, isOutput, randomize, randomizeBuffer, round, setActivation, setBuffer, setFanIn, setFanOut, setId, setIncrement, setInputValue, setLowerBound, setMotorCoupling, setParentNetwork, setSensoryCoupling, setTypeList, setUpperBound, setX, setY, toString, updateConnectedOutward

Methods inherited from class java.lang.Object

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

Field Detail

TANH

public static final int TANH

Tanh.

See Also:

Constant Field Values

BARE

public static final int BARE

Tanh.

See Also:

Constant Field Values

ARCTAN

public static final int ARCTAN

Arctan.

See Also:

Constant Field Values

SIGM

public static final int SIGM

Standard Sigmoidal.

See Also:

Constant Field Values

Constructor Detail

SigmoidalNeuron

public SigmoidalNeuron()

Default constructor needed for external calls which create neurons then set their parameters.

SigmoidalNeuron

public SigmoidalNeuron(Neuron n)

This constructor is used when creating a neuron of one type from another neuron of another type Only values common to different types of neuron are copied.

Parameters:

n - Neuron to be made of type.

Method Detail

getTimeType

public int getTimeType()

Specified by:

getTimeType in class Neuron

Returns:

Time type.

update

public void update()

Update neuron.

Specified by:

update in class Neuron

duplicate

public Neuron duplicate()

Specified by:

duplicate in class Neuron

Returns:

duplicate SigmoidalNeuron (used, e.g., in copy/paste).

getBias

public double getBias()

Returns:

Returns the inflectionPoint.

setBias

public void setBias(double inflectionY)

Parameters:

inflectionY - The inflectionY to set.

getSlope

public double getSlope()

Returns:

Returns the inflectionPointSlope.

setSlope

public void setSlope(double inflectionPointSlope)

Parameters:

inflectionPointSlope - The inflectionPointSlope to set.

getFunctionList

public static String[] getFunctionList()

Returns:

Returns the functionList.

setImplementationIndex

public void setImplementationIndex(int index)

Parameters:

index - The impementatinIndex to set

getImplementationIndex

public int getImplementationIndex()

Returns:

Returns the implementationIndex

getNoiseGenerator

public RandomSource getNoiseGenerator()

Returns:

Returns the noise.

setNoiseGenerator

public void setNoiseGenerator(RandomSource noise)

Parameters:

noise - The noise to set.

getAddNoise

public boolean getAddNoise()

Returns:

Returns the addNoise.

setAddNoise

public void setAddNoise(boolean addNoise)

Parameters:

addNoise - The addNoise to set.

getName

public static String getName()

Returns:

Name of neuron type.

getClipping

public boolean getClipping()

Returns:

Returns the clipping.

setClipping

public void setClipping(boolean clipping)

Parameters:

clipping - The clipping to set.