An on-line hybrid learning algorithm for multilayer perceptron in identification problems |
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Authors: | Daohang Vladimir B. |
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Affiliation: | Centre for Engineering Research, Technikon Natal, P.O. Box 953, Durban 4000, South Africa |
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Abstract: | A hybrid learning algorithm for multilayered perceptrons (MLPs) and pattern-by-pattern training, based on optimized instantaneous learning rates and the recursive least squares method, is proposed. This hybrid solution is developed for on-line identification of process models based on the use of MLPs, and can speed up the learning process of the MLPs substantially, while simultaneously preserving the stability of the learning process. For illustration and test purposes the proposed algorithm is applied to the identification of a non-linear dynamic system. |
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Keywords: | Soft computing Neural networks Hybrid learning Gradient descent method Recursive least squares parameter estimation |
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