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Proceedings Paper

Modified sigma-pi BP network with self-feedback and its application in time series
Author(s): Gou Fei; Ying Lin Yu
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Paper 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.

Paper Details

Date Published: 2 March 1994
PDF: 8 pages
Proc. SPIE 2243, Applications of Artificial Neural Networks V, (2 March 1994); doi: 10.1117/12.169999
Show Author Affiliations
Gou Fei, South China Univ. of Technology (China)
Ying Lin Yu, South China Univ. of Technology (China)


Published in SPIE Proceedings Vol. 2243:
Applications of Artificial Neural Networks V
Steven K. Rogers; Dennis W. Ruck, Editor(s)

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