org.simnet.neurons
Class LinearNeuron

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

All Implemented Interfaces:

GaugeSource

Direct Known Subclasses:

TraceNeuron

public class LinearNeuron
extends Neuron

LinearNeuron.

Field Summary

Fields inherited from class org.simnet.interfaces.Neuron

activation, fanIn, fanOut, lowerBound, upperBound

Constructor Summary

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

LinearNeuron(double x, double y)

LinearNeuron(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	getName()
RandomSource	getNoiseGenerator()
double	getSlope()
int	getTimeType()
void	setAddNoise(boolean addNoise)
void	setBias(double bias)
void	setClipping(boolean clipping)
void	setNoiseGenerator(RandomSource noise)
void	setSlope(double slope)
void	update() Updates the 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

Constructor Detail

LinearNeuron

public LinearNeuron()

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

LinearNeuron

public LinearNeuron(double x,
                    double y)

See Also:

Neuron

LinearNeuron

public LinearNeuron(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 linear

Method Detail

getTimeType

public int getTimeType()

Specified by:

getTimeType in class Neuron

Returns:

Time type.

duplicate

public Neuron duplicate()

Specified by:

duplicate in class Neuron

Returns:

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

update

public void update()

Updates the neuron.

Specified by:

update in class Neuron

getBias

public double getBias()

Returns:

Returns the bias.

setBias

public void setBias(double bias)

Parameters:

bias - The bias to set.

getSlope

public double getSlope()

Returns:

Returns the slope.

setSlope

public void setSlope(double slope)

Parameters:

slope - The slope to set.

getName

public static String getName()

Returns:

Name of neuron type.

getNoiseGenerator

public RandomSource getNoiseGenerator()

Returns:

Returns the noise generator.

setNoiseGenerator

public void setNoiseGenerator(RandomSource noise)

Parameters:

noise - The noise generator to set.

getAddNoise

public boolean getAddNoise()

Returns:

Returns the addNoise.

setAddNoise

public void setAddNoise(boolean addNoise)

Parameters:

addNoise - The addNoise to set.

getClipping

public boolean getClipping()

Returns:

Returns the clipping.

setClipping

public void setClipping(boolean clipping)

Parameters:

clipping - The clipping to set.