org.encog.neural.freeform.basic

Class BasicFreeformNeuron

java.lang.Object

org.encog.neural.freeform.basic.BasicFreeformNeuron

All Implemented Interfaces:

java.io.Serializable, FreeformNeuron, TempTrainingData

Direct Known Subclasses:

FreeformContextNeuron

public class BasicFreeformNeuron
extends java.lang.Object
implements FreeformNeuron, java.io.Serializable

This class provides a basic implementation of a freeform neuron.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
BasicFreeformNeuron(InputSummation theInputSummation)

Method Summary

Modifier and Type	Method and Description
void	addInput(FreeformConnection connection) Add an input connection to this neuron.
void	addOutput(FreeformConnection connection) Add an output connection to this neuron.
void	addTempTraining(int i, double value) Add to the specified temp value.
void	allocateTempTraining(int l) Allocate the specified length of temp training.
void	clearTempTraining() Clear the temp training.
double	getActivation()
InputSummation	getInputSummation()
java.util.List<FreeformConnection>	getOutputs()
double	getSum()
double	getTempTraining(int index) Get the specified temp training.
boolean	isBias()
void	performCalculation() Perform the internal calculation for this neuron.
void	setActivation(double theActivation) Set the activation, or final output for this neuron.
void	setBias(boolean bias) Determine if this neuron is a bias neuron.
void	setInputSummation(InputSummation theInputSummation) Set the input summation method.
void	setTempTraining(int index, double value) Set a temp training value.
java.lang.String	toString()
void	updateContext() Update the context value for this neuron.

Methods inherited from class java.lang.Object

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

Constructor Detail

BasicFreeformNeuron

public BasicFreeformNeuron(InputSummation theInputSummation)

Method Detail

addInput

public void addInput(FreeformConnection connection)

Add an input connection to this neuron.

Specified by:

addInput in interface FreeformNeuron

Parameters:

connection - The input connection.

addOutput

public void addOutput(FreeformConnection connection)

Add an output connection to this neuron.

Specified by:

addOutput in interface FreeformNeuron

Parameters:

connection - The output connection.

addTempTraining

public void addTempTraining(int i,
                            double value)

Add to the specified temp value.

Specified by:

addTempTraining in interface TempTrainingData

Parameters:

i - The index.

value - The value to add.

allocateTempTraining

public void allocateTempTraining(int l)

Allocate the specified length of temp training.

Specified by:

allocateTempTraining in interface TempTrainingData

Parameters:

l - The length.

clearTempTraining

public void clearTempTraining()

Clear the temp training.

Specified by:

clearTempTraining in interface TempTrainingData

getActivation

public double getActivation()

Specified by:

getActivation in interface FreeformNeuron

Returns:

The activation for this neuron. This is the final output after the activation function has been applied.

getInputSummation

public InputSummation getInputSummation()

Specified by:

getInputSummation in interface FreeformNeuron

Returns:

The input summation method.

getOutputs

public java.util.List<FreeformConnection> getOutputs()

Specified by:

getOutputs in interface FreeformNeuron

Returns:

The outputs from this neuron.

getSum

public double getSum()

Specified by:

getSum in interface FreeformNeuron

Returns:

The output sum for this neuron. This is the output prior to the activation function being applied.

getTempTraining

public double getTempTraining(int index)

Get the specified temp training.

Specified by:

getTempTraining in interface TempTrainingData

Parameters:

index - The indfex.

Returns:

The temp training value.

isBias

public boolean isBias()

Specified by:

isBias in interface FreeformNeuron

Returns:

True, if this is a bias neuron.

performCalculation

public void performCalculation()

Perform the internal calculation for this neuron.

Specified by:

performCalculation in interface FreeformNeuron

setActivation

public void setActivation(double theActivation)

Set the activation, or final output for this neuron.

Specified by:

setActivation in interface FreeformNeuron

Parameters:

theActivation - THe activation.

setBias

public void setBias(boolean bias)

Determine if this neuron is a bias neuron.

Specified by:

setBias in interface FreeformNeuron

Parameters:

bias - True, if this neuron is considered a bias neuron.

setInputSummation

public void setInputSummation(InputSummation theInputSummation)

Set the input summation method.

Specified by:

setInputSummation in interface FreeformNeuron

Parameters:

theInputSummation - The input summation method.

setTempTraining

public void setTempTraining(int index,
                            double value)

Set a temp training value.

Specified by:

setTempTraining in interface TempTrainingData

Parameters:

index - The index.

value - The value.

updateContext

public void updateContext()

Update the context value for this neuron.

Specified by:

updateContext in interface FreeformNeuron

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object