Modified sigma-pi BP network with self-feedback and its application in time series

Gou Fei; Ying Lin Yu

doi:10.1117/12.169999

2 March 1994 Modified sigma-pi BP network with self-feedback and its application in time series

Gou Fei, Ying Lin Yu

Proceedings Volume 2243, Applications of Artificial Neural Networks V; (1994) https://doi.org/10.1117/12.169999
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

This paper describes a modified feedback BP NN: Sigma-Pi-linked ((Sigma) -(Pi) ) model. In order to increase input information, a `higher-order' terms of input patterns by using functional-linked of the input patterns are introduced. Finally, the approximation property of the NN has a powerful approximation capability than that of conventional BP neural network.

Citation Download Citation

Gou Fei and Ying Lin Yu "Modified sigma-pi BP network with self-feedback and its application in time series", Proc. SPIE 2243, Applications of Artificial Neural Networks V, (2 March 1994); https://doi.org/10.1117/12.169999

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