Fast learning process of multilayer neural networks using recursive least squares method

Abstract

In this correspondence a new approach for the learning process of multilayer perceptron neural networks using the recursive least squares (RLS) type algorithm is proposed. This method minimizes the global sum of the squared errors between the actual and the desired output values iteratively. The weights in the network are updated upon the arrival af a new… (More)
DOI: 10.1109/78.124956

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