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• W2117690604 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." @default.
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• W2117690604 date "2005-01-01" @default.
• W2117690604 modified "2023-09-23" @default.
• W2117690604 title "THE UD RLS ALGORITHM FOR TRAINING FEEDFORWARD NEURAL NETWORKS" @default.
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