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org.opencv.ml
Class ANN_MLP

java.lang.Object
 extended by org.opencv.core.Algorithm
 extended by org.opencv.ml.StatModel
 extended by org.opencv.ml.ANN_MLP

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public class ANN_MLP
extends StatModel

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Field Summary
static int	BACKPROP
static int	GAUSSIAN
static int	IDENTITY
static int	NO_INPUT_SCALE
static int	NO_OUTPUT_SCALE
static int	RPROP
static int	SIGMOID_SYM
static int	UPDATE_WEIGHTS

Fields inherited from class org.opencv.ml.StatModel
COMPRESSED_INPUT, PREPROCESSED_INPUT, RAW_OUTPUT, UPDATE_MODEL

Method Summary
static ANN_MLP	create()
double	getBackpropMomentumScale()
double	getBackpropWeightScale()
Mat	getLayerSizes()
double	getRpropDW0()
double	getRpropDWMax()
double	getRpropDWMin()
double	getRpropDWMinus()
double	getRpropDWPlus()
TermCriteria	getTermCriteria()
int	getTrainMethod()
Mat	getWeights(int layerIdx)
void	setActivationFunction(int type)
void	setActivationFunction(int type, double param1, double param2)
void	setBackpropMomentumScale(double val)
void	setBackpropWeightScale(double val)
void	setLayerSizes(Mat _layer_sizes)
void	setRpropDW0(double val)
void	setRpropDWMax(double val)
void	setRpropDWMin(double val)
void	setRpropDWMinus(double val)
void	setRpropDWPlus(double val)
void	setTermCriteria(TermCriteria val)
void	setTrainMethod(int method)
void	setTrainMethod(int method, double param1, double param2)

Methods inherited from class org.opencv.ml.StatModel
empty, getVarCount, isClassifier, isTrained, predict, predict, train

Methods inherited from class org.opencv.core.Algorithm
clear, getDefaultName, save

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

BACKPROP

public static final int BACKPROP

See Also:

Constant Field Values

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GAUSSIAN

public static final int GAUSSIAN

See Also:

Constant Field Values

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IDENTITY

public static final int IDENTITY

See Also:

Constant Field Values

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NO_INPUT_SCALE

public static final int NO_INPUT_SCALE

See Also:

Constant Field Values

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NO_OUTPUT_SCALE

public static final int NO_OUTPUT_SCALE

See Also:

Constant Field Values

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RPROP

public static final int RPROP

See Also:

Constant Field Values

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SIGMOID_SYM

public static final int SIGMOID_SYM

See Also:

Constant Field Values

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UPDATE_WEIGHTS

public static final int UPDATE_WEIGHTS

See Also:

Constant Field Values

Method Detail

create

public static ANN_MLP create()

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getBackpropMomentumScale

public double getBackpropMomentumScale()

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getBackpropWeightScale

public double getBackpropWeightScale()

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getLayerSizes

public Mat getLayerSizes()

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getRpropDW0

public double getRpropDW0()

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getRpropDWMax

public double getRpropDWMax()

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getRpropDWMin

public double getRpropDWMin()

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getRpropDWMinus

public double getRpropDWMinus()

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getRpropDWPlus

public double getRpropDWPlus()

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getTermCriteria

public TermCriteria getTermCriteria()

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getTrainMethod

public int getTrainMethod()

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getWeights

public Mat getWeights(int layerIdx)

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setActivationFunction

public void setActivationFunction(int type)

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setActivationFunction

public void setActivationFunction(int type,
 double param1,
 double param2)

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setBackpropMomentumScale

public void setBackpropMomentumScale(double val)

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setBackpropWeightScale

public void setBackpropWeightScale(double val)

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setLayerSizes

public void setLayerSizes(Mat _layer_sizes)

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setRpropDW0

public void setRpropDW0(double val)

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setRpropDWMax

public void setRpropDWMax(double val)

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setRpropDWMin

public void setRpropDWMin(double val)

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setRpropDWMinus

public void setRpropDWMinus(double val)

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setRpropDWPlus

public void setRpropDWPlus(double val)

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setTermCriteria

public void setTermCriteria(TermCriteria val)

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setTrainMethod

public void setTrainMethod(int method)

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setTrainMethod

public void setTrainMethod(int method,
 double param1,
 double param2)

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