org.simnet.neurons
Class AdditiveNeuron

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

All Implemented Interfaces:

GaugeSource

public class AdditiveNeuron
extends Neuron

AdditiveNeuron See haykin (2002), section 14.5. Used with continnuous Hopfield networks.

Field Summary

Fields inherited from class org.simnet.interfaces.Neuron

activation, fanIn, fanOut, lowerBound, upperBound

Constructor Summary

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

AdditiveNeuron(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()
boolean	getClipping()
double	getLambda()
static String	getName()
RandomSource	getNoiseGenerator()
double	getResistance()
int	getTimeType()
void	setAddNoise(boolean addNoise)
void	setClipping(boolean clipping)
void	setLambda(double lambda)
void	setNoiseGenerator(RandomSource noise)
void	setResistance(double resistance)
void	update() Update buffer of additive neuron using Euler's method.

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

AdditiveNeuron

public AdditiveNeuron()

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

AdditiveNeuron

public AdditiveNeuron(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 make of the type

Method Detail

getTimeType

public int getTimeType()

Specified by:

getTimeType in class Neuron

Returns:

the time type.

duplicate

public Neuron duplicate()

Specified by:

duplicate in class Neuron

Returns:

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

update

public void update()

Update buffer of additive neuron using Euler's method.

Specified by:

update in class Neuron

getName

public static String getName()

Returns:

Name of neuron type.

getLambda

public double getLambda()

Returns:

Returns the lambda.

setLambda

public void setLambda(double lambda)

Parameters:

lambda - The lambda to set.

getResistance

public double getResistance()

Returns:

Returns the resistance.

setResistance

public void setResistance(double resistance)

Parameters:

resistance - The resistance to set.

getNoiseGenerator

public RandomSource getNoiseGenerator()

Returns:

Noise generator dialog.

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.

getClipping

public boolean getClipping()

Returns:

Returns the clipping.

setClipping

public void setClipping(boolean clipping)

Parameters:

clipping - The clipping to set.