ANN_MLP

java.lang.Object
- org.opencv.core.Algorithm
- - org.opencv.ml.StatModel
  - - org.opencv.ml.ANN_MLP

```
public class ANN_MLP
extends StatModel
```

Field Summary

Fields
Modifier and Type	Field and Description
`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

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`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)

Class ANN_MLP

Field Summary

Fields inherited from class org.opencv.ml.StatModel

Method Summary

Methods inherited from class org.opencv.ml.StatModel

Methods inherited from class org.opencv.core.Algorithm

Methods inherited from class java.lang.Object

Field Detail

BACKPROP

GAUSSIAN

IDENTITY

NO_INPUT_SCALE

NO_OUTPUT_SCALE

RPROP

SIGMOID_SYM

UPDATE_WEIGHTS

Method Detail

create

getBackpropMomentumScale

getBackpropWeightScale

getLayerSizes

getRpropDW0

getRpropDWMax

getRpropDWMin

getRpropDWMinus

getRpropDWPlus

getTermCriteria

getTrainMethod

getWeights

setActivationFunction

setActivationFunction

setBackpropMomentumScale

setBackpropWeightScale

setLayerSizes

setRpropDW0

setRpropDWMax

setRpropDWMin

setRpropDWMinus

setRpropDWPlus

setTermCriteria

setTrainMethod

setTrainMethod