Nonlinear adaptive prediction of chaotic time series with an adaptive sine-Volterra predictive fiter

被引：0
|
作者：
Zhang, JS [1 ]
Xiao, XC [1 ]
机构：
[1] SW Jiaotong Univ, Sch Comp & Commun Engn, Chengdu 610031, Peoples R China
来源：
ICEMI'2001: FIFTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT AND INSTRUMENTS, VOL 1, CONFERENCE PROCEEDINGS | 2001年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new approach to nonlinear adaptive prediction of chaotic time series is presented by means of an adaptive sine-Volterra predictive filter based on the deterministic and nonlinear characteristics of chaotic time series. The named adaptive sine-Volterra predictive filter introduces sine function to approximate the Volterra filter based on linearization decomposition. Numerical simulation results show that the nonlinear adaptive filter proposed here has good performance for making adaptive prediction of chaotic time series.
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页码：471 / 475
页数：5
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