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Then tacting was trained using vocal prompts.
The system was trained using the phonetically balanced sentences database.
The CNN was trained using the PDNN library [46].
The SI model was trained using the following configurations.
The ANN was trained using the back propagation algorithm.
The neural network was trained using available FEM simulation data.
The neural network was trained using 129 neutron spectra.
First, greedy ensemble was trained using the function caretEnsemble with 1,000 iterations.
The artificial neural network system was trained using the prepared training set.
The Spanish recognizer was trained using the training data provided by the organizers.
A multi-class SVM classifier was trained using HOG features for vehicle type classification.
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