Predicting Chaotic Time Series Using Recurrent Neural Network
ZHANG Jia-Shu , XIAO Xian-Ci
Department of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054
Predicting Chaotic Time Series Using Recurrent Neural Network
ZHANG Jia-Shu ;XIAO Xian-Ci
Department of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054
关键词 ：
05.45.+b ,
05.45.Tp ,
07.05.Mh
Abstract ： A new proposed method, i.e. the recurrent neural network (RNN), is introduced to predict chaotic time series. The effectiveness of using RNN for making one-step and multi-step predictions is tested based on remarkable few datum points by computer-generated chaotic time series. Numerical results show that the RNN proposed here is a very powerful tool for making prediction of chaotic time series.
Key words ：
05.45.+b
05.45.Tp
07.05.Mh
出版日期: 2000-02-01
引用本文:
ZHANG Jia-Shu;XIAO Xian-Ci. Predicting Chaotic Time Series Using Recurrent Neural Network[J]. 中国物理快报, 2000, 17(2): 88-90.
链接本文:
https://cpl.iphy.ac.cn/CN/
或
https://cpl.iphy.ac.cn/CN/Y2000/V17/I2/88
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2000, Vol. 17 
