Package org.opencv.ml

Class ANN_MLP_ANNEAL

java.lang.Object

org.opencv.core.Algorithm

org.opencv.ml.StatModel

org.opencv.ml.ANN_MLP

org.opencv.ml.ANN_MLP_ANNEAL

public class ANN_MLP_ANNEAL
extends ANN_MLP

Artificial Neural Networks - Multi-Layer Perceptrons. SEE: REF: ml_intro_ann

Field Summary

Fields inherited from class org.opencv.ml.ANN_MLP

ANNEAL, BACKPROP, GAUSSIAN, IDENTITY, LEAKYRELU, NO_INPUT_SCALE, NO_OUTPUT_SCALE, RELU, RPROP, SIGMOID_SYM, UPDATE_WEIGHTS

Fields inherited from class org.opencv.ml.StatModel

COMPRESSED_INPUT, PREPROCESSED_INPUT, RAW_OUTPUT, UPDATE_MODEL

Fields inherited from class org.opencv.core.Algorithm

nativeObj

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	ANN_MLP_ANNEAL(long addr)

Method Summary

Modifier and Type	Method	Description
static ANN_MLP_ANNEAL	__fromPtr__(long addr)
protected void	finalize()
double	getAnnealCoolingRatio()	SEE: setAnnealCoolingRatio
double	getAnnealFinalT()	SEE: setAnnealFinalT
double	getAnnealInitialT()	SEE: setAnnealInitialT
int	getAnnealItePerStep()	SEE: setAnnealItePerStep
void	setAnnealCoolingRatio(double val)	getAnnealCoolingRatio SEE: getAnnealCoolingRatio
void	setAnnealFinalT(double val)	getAnnealFinalT SEE: getAnnealFinalT
void	setAnnealInitialT(double val)	getAnnealInitialT SEE: getAnnealInitialT
void	setAnnealItePerStep(int val)	getAnnealItePerStep SEE: getAnnealItePerStep

Methods inherited from class org.opencv.ml.ANN_MLP

create, getBackpropMomentumScale, getBackpropWeightScale, getLayerSizes, getRpropDW0, getRpropDWMax, getRpropDWMin, getRpropDWMinus, getRpropDWPlus, getTermCriteria, getTrainMethod, getWeights, load, setActivationFunction, setActivationFunction, setActivationFunction, setBackpropMomentumScale, setBackpropWeightScale, setLayerSizes, setRpropDW0, setRpropDWMax, setRpropDWMin, setRpropDWMinus, setRpropDWPlus, setTermCriteria, setTrainMethod, setTrainMethod, setTrainMethod

Methods inherited from class org.opencv.ml.StatModel

calcError, empty, getVarCount, isClassifier, isTrained, predict, predict, predict, train, train, train

Methods inherited from class org.opencv.core.Algorithm

clear, getDefaultName, getNativeObjAddr, save

Methods inherited from class java.lang.Object

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

Constructor Detail

ANN_MLP_ANNEAL

protected ANN_MLP_ANNEAL(long addr)

Method Detail

__fromPtr__

public static ANN_MLP_ANNEAL __fromPtr__(long addr)

getAnnealInitialT

public double getAnnealInitialT()

SEE: setAnnealInitialT

Overrides:

getAnnealInitialT in class ANN_MLP

Returns:

automatically generated

setAnnealInitialT

public void setAnnealInitialT(double val)

getAnnealInitialT SEE: getAnnealInitialT

Overrides:

setAnnealInitialT in class ANN_MLP

Parameters:

val - automatically generated

getAnnealFinalT

public double getAnnealFinalT()

SEE: setAnnealFinalT

Overrides:

getAnnealFinalT in class ANN_MLP

Returns:

automatically generated

setAnnealFinalT

public void setAnnealFinalT(double val)

getAnnealFinalT SEE: getAnnealFinalT

Overrides:

setAnnealFinalT in class ANN_MLP

Parameters:

val - automatically generated

getAnnealCoolingRatio

public double getAnnealCoolingRatio()

SEE: setAnnealCoolingRatio

Overrides:

getAnnealCoolingRatio in class ANN_MLP

Returns:

automatically generated

setAnnealCoolingRatio

public void setAnnealCoolingRatio(double val)

getAnnealCoolingRatio SEE: getAnnealCoolingRatio

Overrides:

setAnnealCoolingRatio in class ANN_MLP

Parameters:

val - automatically generated

getAnnealItePerStep

public int getAnnealItePerStep()

SEE: setAnnealItePerStep

Overrides:

getAnnealItePerStep in class ANN_MLP

Returns:

automatically generated

setAnnealItePerStep

public void setAnnealItePerStep(int val)

getAnnealItePerStep SEE: getAnnealItePerStep

Overrides:

setAnnealItePerStep in class ANN_MLP

Parameters:

val - automatically generated

finalize

protected void finalize()
                 throws java.lang.Throwable

Overrides:

finalize in class ANN_MLP

Throws:

java.lang.Throwable