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The Levenberg Marquardt algorithm is used to train the FNN.
Limited Memory BFGS algorithm is used to train the model.
Finally, a hybrid learning algorithm is used to train the system.
The Levenberg Marquardt algorithm is used to train the neural network.
The error-backpropagation algorithm is used to train the ANN model.
The PSO algorithm is used to train the Single Neuron Cascaded (SNC) Neural Architecture.
Similar(45)
A support vector machine learning algorithm was used to train the model using the training set.
The Bayesian regularization back-propagation algorithm was used to train the network.
The GentleBoost algorithm is used to train a classifier using different number of co-occurred features,.
The commonly used Back Propagation (BP) algorithm was used to train and test networks.
The first of these sets was used to train the algorithm, the second set to test the algorithm and the third set was used to validate the algorithm.
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