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

被引：0

作者：

Guo, SB ^{[1
]}

Xiao, XC ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Dept Elect Engn, Chengdu 610054, Peoples R China

来源：

PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5 | 2000年

关键词：

chaos; neural network; voltrra series; prediction;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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

引用

页码：1051 / 1054

页数：4