摘要
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.
作者
ZHANG Jia-Shu
XIAO Xian-Ci
张家树;肖先赐(Department of Electronic Engineering,University of Electronic Science and Technology of China,Chengdu610054)
基金
Supported by National Defense Foundation of China Under Grant Nos.98JS05.4.1.DZ0205.
