Search for: [Abstract = "A new algorithm for training feedforward multilayer neural networks is proposed. It is based on recursive least squares procedures and U\-D factorization, which is a well\-known technique in filter theory. It will be shown that due to the U\-D factorization method, our algorithm requires fewer computations than the classical RLS applied to feedforward multilayer neural network training."]

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