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Lines Matching refs:ANN_MLP

316         new training samples, not completely overwritten (such as NormalBayesClassifier or ANN_MLP).
1236 constructor or the method ANN_MLP::create. All the weights are set to zeros. Then, the network is
1240 Additional flags for StatModel::train are available: ANN_MLP::TrainFlags.
1244 class CV_EXPORTS_W ANN_MLP : public StatModel
1254 @param method Default value is ANN_MLP::RPROP. See ANN_MLP::TrainingMethods.
1255 @param param1 passed to setRpropDW0 for ANN_MLP::RPROP and to setBackpropWeightScale for ANN_MLP::BACKPROP
1256 @param param2 passed to setRpropDWMin for ANN_MLP::RPROP and to setBackpropMomentumScale for ANN_MLP::BACKPROP.
1264 Currently the default and the only fully supported activation function is ANN_MLP::SIGMOID_SYM.
1265 @param type The type of activation function. See ANN_MLP::ActivationFunctions.
1378 Use StatModel::train to train the model, Algorithm::load\<ANN_MLP\>(filename) to load the pre-trained model.
1379 Note that the train method has optional flags: ANN_MLP::TrainFlags.
1381 CV_WRAP static Ptr<ANN_MLP> create();