ANN_MLP          1381 modules/ml/include/opencv2/ml.hpp     CV_WRAP static Ptr<ANN_MLP> create();
ANN_MLP            50 modules/ml/src/ann_mlp.cpp         trainMethod = ANN_MLP::RPROP;
ANN_MLP            75 modules/ml/src/ann_mlp.cpp class ANN_MLPImpl : public ANN_MLP
ANN_MLP            83 modules/ml/src/ann_mlp.cpp         setTrainMethod(ANN_MLP::RPROP, 0.1, FLT_EPSILON);
ANN_MLP           110 modules/ml/src/ann_mlp.cpp         if (method != ANN_MLP::RPROP && method != ANN_MLP::BACKPROP)
ANN_MLP           111 modules/ml/src/ann_mlp.cpp             method = ANN_MLP::RPROP;
ANN_MLP           113 modules/ml/src/ann_mlp.cpp         if(method == ANN_MLP::RPROP )
ANN_MLP           120 modules/ml/src/ann_mlp.cpp         else if(method == ANN_MLP::BACKPROP )
ANN_MLP           709 modules/ml/src/ann_mlp.cpp         int iter = params.trainMethod == ANN_MLP::BACKPROP ?
ANN_MLP          1122 modules/ml/src/ann_mlp.cpp         if( params.trainMethod == ANN_MLP::BACKPROP )
ANN_MLP          1128 modules/ml/src/ann_mlp.cpp         else if( params.trainMethod == ANN_MLP::RPROP )
ANN_MLP          1211 modules/ml/src/ann_mlp.cpp                 params.trainMethod = ANN_MLP::BACKPROP;
ANN_MLP          1217 modules/ml/src/ann_mlp.cpp                 params.trainMethod = ANN_MLP::RPROP;
ANN_MLP          1315 modules/ml/src/ann_mlp.cpp Ptr<ANN_MLP> ANN_MLP::create()
ANN_MLP            81 modules/ml/test/test_mltests2.cpp         return ANN_MLP::BACKPROP;
ANN_MLP            83 modules/ml/test/test_mltests2.cpp         return ANN_MLP::RPROP;
ANN_MLP           358 modules/ml/test/test_mltests2.cpp         Ptr<ANN_MLP> m = ANN_MLP::create();
ANN_MLP           360 modules/ml/test/test_mltests2.cpp         m->setActivationFunction(ANN_MLP::SIGMOID_SYM, 0, 0);
ANN_MLP           481 modules/ml/test/test_mltests2.cpp         model = Algorithm::load<ANN_MLP>( filename );
ANN_MLP            37 modules/ml/test/test_precomp.hpp using cv::ml::ANN_MLP;
ANN_MLP           195 modules/ml/test/test_save_load.cpp             model = Algorithm::load<ANN_MLP>(filename);
ANN_MLP           357 samples/cpp/letter_recog.cpp     Ptr<ANN_MLP> model;
ANN_MLP           365 samples/cpp/letter_recog.cpp         model = load_classifier<ANN_MLP>(filename_to_load);
ANN_MLP           399 samples/cpp/letter_recog.cpp         int method = ANN_MLP::BACKPROP;
ANN_MLP           403 samples/cpp/letter_recog.cpp         int method = ANN_MLP::RPROP;
ANN_MLP           411 samples/cpp/letter_recog.cpp         model = ANN_MLP::create();
ANN_MLP           413 samples/cpp/letter_recog.cpp         model->setActivationFunction(ANN_MLP::SIGMOID_SYM, 0, 0);
ANN_MLP           227 samples/cpp/points_classifier.cpp     Ptr<ANN_MLP> ann = ANN_MLP::create();
ANN_MLP           229 samples/cpp/points_classifier.cpp     ann->setActivationFunction(ANN_MLP::SIGMOID_SYM, 1, 1);
ANN_MLP           231 samples/cpp/points_classifier.cpp     ann->setTrainMethod(ANN_MLP::BACKPROP, 0.001);