public static class opencv_ml.CvANN_MLP extends opencv_ml.CvStatModel
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Modifier and Type | Field and Description |
|---|---|
static int |
GAUSSIAN
enum CvANN_MLP::
|
static int |
IDENTITY
enum CvANN_MLP::
|
static int |
NO_INPUT_SCALE
enum CvANN_MLP::
|
static int |
NO_OUTPUT_SCALE
enum CvANN_MLP::
|
static int |
SIGMOID_SYM
enum CvANN_MLP::
|
static int |
UPDATE_WEIGHTS
enum CvANN_MLP::
|
| Constructor and Description |
|---|
opencv_ml.CvANN_MLP() |
opencv_ml.CvANN_MLP(int size) |
opencv_ml.CvANN_MLP(opencv_core.CvMat layerSizes) |
opencv_ml.CvANN_MLP(opencv_core.CvMat layerSizes,
int activateFunc,
double fparam1,
double fparam2) |
opencv_ml.CvANN_MLP(opencv_core.Mat layerSizes) |
opencv_ml.CvANN_MLP(opencv_core.Mat layerSizes,
int activateFunc,
double fparam1,
double fparam2) |
opencv_ml.CvANN_MLP(Pointer p) |
load, load, load, load, save, save, save, saveaddress, asBuffer, asByteBuffer, capacity, capacity, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, hashCode, isNull, limit, limit, memchr, memcmp, memcpy, memmove, memset, offsetof, position, put, setNull, sizeof, toString, withDeallocator, zeropublic static final int IDENTITY
public static final int SIGMOID_SYM
public static final int GAUSSIAN
public static final int UPDATE_WEIGHTS
public static final int NO_INPUT_SCALE
public static final int NO_OUTPUT_SCALE
public opencv_ml.CvANN_MLP(Pointer p)
public opencv_ml.CvANN_MLP(int size)
public opencv_ml.CvANN_MLP()
public opencv_ml.CvANN_MLP(opencv_core.CvMat layerSizes, int activateFunc, double fparam1, double fparam2)
public opencv_ml.CvANN_MLP(opencv_core.CvMat layerSizes)
public opencv_ml.CvANN_MLP(opencv_core.Mat layerSizes, int activateFunc, double fparam1, double fparam2)
public opencv_ml.CvANN_MLP(opencv_core.Mat layerSizes)
public opencv_ml.CvANN_MLP position(int position)
position in class opencv_ml.CvStatModelpublic void create(opencv_core.CvMat layerSizes, int activateFunc, double fparam1, double fparam2)
public void create(opencv_core.CvMat layerSizes)
public int train(opencv_core.CvMat inputs, opencv_core.CvMat outputs, opencv_core.CvMat sampleWeights, opencv_core.CvMat sampleIdx, opencv_ml.CvANN_MLP_TrainParams params, int flags)
public int train(opencv_core.CvMat inputs, opencv_core.CvMat outputs, opencv_core.CvMat sampleWeights)
public float predict(opencv_core.CvMat inputs, opencv_core.CvMat outputs)
public void create(opencv_core.Mat layerSizes, int activateFunc, double fparam1, double fparam2)
public void create(opencv_core.Mat layerSizes)
public int train(opencv_core.Mat inputs, opencv_core.Mat outputs, opencv_core.Mat sampleWeights, opencv_core.Mat sampleIdx, opencv_ml.CvANN_MLP_TrainParams params, int flags)
public int train(opencv_core.Mat inputs, opencv_core.Mat outputs, opencv_core.Mat sampleWeights)
public float predict(opencv_core.Mat inputs, opencv_core.Mat outputs)
public void clear()
clear in class opencv_ml.CvStatModelpublic void read(opencv_core.CvFileStorage fs, opencv_core.CvFileNode node)
read in class opencv_ml.CvStatModelpublic void write(opencv_core.CvFileStorage storage, BytePointer name)
write in class opencv_ml.CvStatModelpublic void write(opencv_core.CvFileStorage storage, String name)
write in class opencv_ml.CvStatModelpublic int get_layer_count()
public opencv_core.CvMat get_layer_sizes()
public DoublePointer get_weights(int layer)
public void calc_activ_func_deriv(opencv_core.CvMat xf, opencv_core.CvMat deriv, DoublePointer bias)
public void calc_activ_func_deriv(opencv_core.CvMat xf, opencv_core.CvMat deriv, DoubleBuffer bias)
public void calc_activ_func_deriv(opencv_core.CvMat xf, opencv_core.CvMat deriv, double[] bias)
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