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Hopfield neural network via Volterra series implement fast prediction of chaotic time series

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2 Author(s)
Guo Shuangbing ; Dept. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China ; Xiao Xian-Ci

In this paper, we construct predictive model of chaotic time series via Volterra series and characteristics of Hopfield neural network, which possess fast and parallel processing. We also induce weight formula of Hopfield neural network. It is shown through experiments that this model is valid

Published in:
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on  (Volume:2 )

Date of Conference: 2000

Page(s):
1051 - 1054 vol.2
Meeting Date :
28 Jun 2000-02 Jul 2000
Print ISBN:
0-7803-5995-X
INSPEC Accession Number:
6748288
Conference Location :
Hefei
Digital Object Identifier :
10.1109/WCICA.2000.863397
Product Type:
Conference Publications

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