Title :
Hopfield neural network via Volterra series implement fast prediction of chaotic time series
Author :
Shuangbing, Guo ; Xian-Ci, Xiao
Author_Institution :
Dept. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
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
Keywords :
Hopfield neural nets; Volterra series; chaos; prediction theory; time series; Hopfield neural network; Volterra series; chaotic time series prediction; fast parallel processing; Chaos; Hopfield neural networks; Neural networks; Parallel processing; Predictive models;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.863397
