org.encog.neural.pnn

Class AbstractPNN

java.lang.Object

org.encog.ml.BasicML

org.encog.neural.pnn.AbstractPNN

All Implemented Interfaces:

Serializable, MLMethod, MLProperties

Direct Known Subclasses:

BasicPNN

public abstract class AbstractPNN
extends BasicML

Abstract class to build PNN networks upon.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
AbstractPNN(PNNKernelType kernel, PNNOutputMode outputMode, int inputCount, int outputCount) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
abstract MLData	compute(MLData input) Compute the output from the network.
double[]	getDeriv()
double[]	getDeriv2()
double	getError()
int	getExclude()
int	getInputCount()
PNNKernelType	getKernel()
int	getOutputCount()
PNNOutputMode	getOutputMode()
boolean	isSeparateClass()
boolean	isTrained()
void	resetConfusion() Reset the confusion.
void	setError(double error)
void	setExclude(int exclude)
void	setSeparateClass(boolean separateClass)
void	setTrained(boolean trained)

Methods inherited from class org.encog.ml.BasicML

getProperties, getPropertyDouble, getPropertyLong, getPropertyString, setProperty, setProperty, setProperty, updateProperties

Methods inherited from class java.lang.Object

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

Constructor Detail

AbstractPNN

public AbstractPNN(PNNKernelType kernel,
           PNNOutputMode outputMode,
           int inputCount,
           int outputCount)

Constructor.

Parameters:

kernel - The kernel type to use.

outputMode - The output mode to use.

inputCount - The input count.

outputCount - The output count.

Method Detail

compute

public abstract MLData compute(MLData input)

Compute the output from the network.

Parameters:

input - The input to the network.

Returns:

The output from the network.

getDeriv

public double[] getDeriv()

Returns:

the deriv

getDeriv2

public double[] getDeriv2()

Returns:

the deriv2

getError

public double getError()

Returns:

the error

getExclude

public int getExclude()

Returns:

the exclude

getInputCount

public int getInputCount()

Returns:

the inputCount

getKernel

public PNNKernelType getKernel()

Returns:

the kernel

getOutputCount

public int getOutputCount()

Returns:

the outputCount

getOutputMode

public PNNOutputMode getOutputMode()

Returns:

the outputMode

isTrained

public boolean isTrained()

Returns:

the trained

resetConfusion

public void resetConfusion()

Reset the confusion.

setError

public void setError(double error)

Parameters:

error - the error to set

setExclude

public void setExclude(int exclude)

Parameters:

exclude - the exclude to set

setTrained

public void setTrained(boolean trained)

Parameters:

trained - the trained to set

isSeparateClass

public boolean isSeparateClass()

Returns:

the separateClass

setSeparateClass

public void setSeparateClass(boolean separateClass)

Parameters:

separateClass - the separateClass to set