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OpenCV 3.0.0
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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

public class ANN_MLP
extends StatModel

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

GAUSSIAN

public static final int GAUSSIAN
See Also:
Constant Field Values

IDENTITY

public static final int IDENTITY
See Also:
Constant Field Values

NO_INPUT_SCALE

public static final int NO_INPUT_SCALE
See Also:
Constant Field Values

NO_OUTPUT_SCALE

public static final int NO_OUTPUT_SCALE
See Also:
Constant Field Values

RPROP

public static final int RPROP
See Also:
Constant Field Values

SIGMOID_SYM

public static final int SIGMOID_SYM
See Also:
Constant Field Values

UPDATE_WEIGHTS

public static final int UPDATE_WEIGHTS
See Also:
Constant Field Values
Method Detail

create

public static ANN_MLP create()

getBackpropMomentumScale

public double getBackpropMomentumScale()

getBackpropWeightScale

public double getBackpropWeightScale()

getLayerSizes

public Mat getLayerSizes()

getRpropDW0

public double getRpropDW0()

getRpropDWMax

public double getRpropDWMax()

getRpropDWMin

public double getRpropDWMin()

getRpropDWMinus

public double getRpropDWMinus()

getRpropDWPlus

public double getRpropDWPlus()

getTermCriteria

public TermCriteria getTermCriteria()

getTrainMethod

public int getTrainMethod()

getWeights

public Mat getWeights(int layerIdx)

setActivationFunction

public void setActivationFunction(int type)

setActivationFunction

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

setBackpropMomentumScale

public void setBackpropMomentumScale(double val)

setBackpropWeightScale

public void setBackpropWeightScale(double val)

setLayerSizes

public void setLayerSizes(Mat _layer_sizes)

setRpropDW0

public void setRpropDW0(double val)

setRpropDWMax

public void setRpropDWMax(double val)

setRpropDWMin

public void setRpropDWMin(double val)

setRpropDWMinus

public void setRpropDWMinus(double val)

setRpropDWPlus

public void setRpropDWPlus(double val)

setTermCriteria

public void setTermCriteria(TermCriteria val)

setTrainMethod

public void setTrainMethod(int method)

setTrainMethod

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