Generalized cost-criterion-based learning algorithm for diagonal recurrent neural networks

Yongji Wang; Hong Wang

doi:10.1117/12.385516

9 May 2000 Generalized cost-criterion-based learning algorithm for diagonal recurrent neural networks

Yongji Wang, Hong Wang

Proceedings Volume 4077, International Conference on Sensors and Control Techniques (ICSC 2000); (2000) https://doi.org/10.1117/12.385516
Event: International Conference on Sensors and Control Techniques (ICSC2000), 2000, Wuhan, China

Abstract

A new generalized cost criterion based learning algorithm for diagonal recurrent neural networks is presented, which is with form of recursive prediction error (RPE) and has second convergent order. A guideline for the choice of the optimal learning rate is derived from convergence analysis. The application of this method to dynamic modeling of typical chemical processes shows that the generalized cost criterion RPE (QRPE) has higher modeling precision than BP trained MLP and quadratic cost criterion trained RPE (QRPE).

Citation Download Citation

Yongji Wang and Hong Wang "Generalized cost-criterion-based learning algorithm for diagonal recurrent neural networks", Proc. SPIE 4077, International Conference on Sensors and Control Techniques (ICSC 2000), (9 May 2000); https://doi.org/10.1117/12.385516

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