OpenCV  4.10.0
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cv::ml::ANN_MLP 成员列表

这是 cv::ml::ANN_MLP 的所有成员的完整列表,包括所有继承的成员。

ActivationFunctions 枚举名称cv::ml::ANN_MLP
算法()cv::Algorithm
ANNEAL 枚举值cv::ml::ANN_MLP
BACKPROP 枚举值cv::ml::ANN_MLP
calcError(const Ptr< TrainData > &data, bool test, OutputArray resp) constcv::ml::StatModel虚拟
clear()cv::Algorithminlinevirtual
COMPRESSED_INPUT 枚举值cv::ml::StatModel
create()cv::ml::ANN_MLP静态
empty() const CV_OVERRIDEcv::ml::StatModel虚拟
Flags 枚举名称cv::ml::StatModel
GAUSSIAN 枚举值cv::ml::ANN_MLP
getAnnealCoolingRatio() const =0cv::ml::ANN_MLP纯虚
getAnnealFinalT() const =0cv::ml::ANN_MLP纯虚
getAnnealInitialT() const =0cv::ml::ANN_MLP纯虚
getAnnealItePerStep() const =0cv::ml::ANN_MLP纯虚
getBackpropMomentumScale() const =0cv::ml::ANN_MLP纯虚
getBackpropWeightScale() const =0cv::ml::ANN_MLP纯虚
getDefaultName() constcv::Algorithm虚拟
getLayerSizes() const =0cv::ml::ANN_MLP纯虚
getRpropDW0() const =0cv::ml::ANN_MLP纯虚
getRpropDWMax() const =0cv::ml::ANN_MLP纯虚
getRpropDWMin() const =0cv::ml::ANN_MLP纯虚
getRpropDWMinus() const =0cv::ml::ANN_MLP纯虚
getRpropDWPlus() const =0cv::ml::ANN_MLP纯虚
getTermCriteria() const =0cv::ml::ANN_MLP纯虚
getTrainMethod() const =0cv::ml::ANN_MLP纯虚
getVarCount() const =0cv::ml::StatModel纯虚
getWeights(int layerIdx) const =0cv::ml::ANN_MLP纯虚
IDENTITY 枚举值cv::ml::ANN_MLP
isClassifier() const =0cv::ml::StatModel纯虚
isTrained() const =0cv::ml::StatModel纯虚
LEAKYRELU 枚举值cv::ml::ANN_MLP
load(const String &filepath)cv::ml::ANN_MLP静态
cv::ml::StatModel::load(const String &filename, const String &objname=String())cv::Algorithminlinestatic
loadFromString(const String &strModel, const String &objname=String())cv::Algorithminlinestatic
NO_INPUT_SCALE 枚举值cv::ml::ANN_MLP
NO_OUTPUT_SCALE 枚举值cv::ml::ANN_MLP
predict(InputArray samples, OutputArray results=noArray(), int flags=0) const =0cv::ml::StatModel纯虚
PREPROCESSED_INPUT 枚举值cv::ml::StatModel
RAW_OUTPUT 枚举值cv::ml::StatModel
read(const FileNode &fn)cv::Algorithminlinevirtual
read(const FileNode &fn)cv::Algorithminlinestatic
RELU 枚举值cv::ml::ANN_MLP
RPROP 枚举值cv::ml::ANN_MLP
save(const String &filename) constcv::Algorithm虚拟
setActivationFunction(int type, double param1=0, double param2=0)=0cv::ml::ANN_MLP纯虚
setAnnealCoolingRatio(double val)=0cv::ml::ANN_MLP纯虚
setAnnealEnergyRNG(const RNG &rng)=0cv::ml::ANN_MLP纯虚
setAnnealFinalT(double val)=0cv::ml::ANN_MLP纯虚
setAnnealInitialT(double val)=0cv::ml::ANN_MLP纯虚
setAnnealItePerStep(int val)=0cv::ml::ANN_MLP纯虚
setBackpropMomentumScale(double val)=0cv::ml::ANN_MLP纯虚
setBackpropWeightScale(double val)=0cv::ml::ANN_MLP纯虚
setLayerSizes(InputArray _layer_sizes)=0cv::ml::ANN_MLP纯虚
setRpropDW0(double val)=0cv::ml::ANN_MLP纯虚
setRpropDWMax(double val)=0cv::ml::ANN_MLP纯虚
setRpropDWMin(double val)=0cv::ml::ANN_MLP纯虚
setRpropDWMinus(double val)=0cv::ml::ANN_MLP纯虚
setRpropDWPlus(double val)=0cv::ml::ANN_MLP纯虚
setTermCriteria(TermCriteria val)=0cv::ml::ANN_MLP纯虚
setTrainMethod(int method, double param1=0, double param2=0)=0cv::ml::ANN_MLP纯虚
SIGMOID_SYM 枚举值cv::ml::ANN_MLP
train(const Ptr< TrainData > &trainData, int flags=0)cv::ml::StatModel虚拟
train(InputArray samples, int layout, InputArray responses)cv::ml::StatModel虚拟
train(const Ptr< TrainData > &data, int flags=0)cv::ml::StatModelinlinestatic
TrainFlags 枚举名称cv::ml::ANN_MLP
TrainingMethods 枚举名称cv::ml::ANN_MLP
UPDATE_MODEL 枚举值cv::ml::StatModel
UPDATE_WEIGHTS 枚举值cv::ml::ANN_MLP
write(FileStorage &fs) constcv::Algorithminlinevirtual
write(FileStorage &fs, const String &name) constcv::Algorithm
write(const Ptr< FileStorage > &fs, const String &name=String()) constcv::Algorithm
writeFormat(FileStorage &fs) constcv::Algorithm保护
~Algorithm()cv::Algorithm虚拟