Search for: [Abstract = "The paper describes an application of regularization techniques to an automatic choice of parameters driving the learning process in the NM\-Delta neural network architecture. The heterogeneous learning algorithm is identified as very similar to the Levenberg\-Marquardt method but with a considerably smaller computational cost and different justification of parameter selection. The performance of the modified algorithm proves to be comparable with that of the Levenberg\-Marquardt."]

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