%0 Journal Article
%T A novel multi-step adaptive prediction method for chaotic time series<br>混沌时间序列多步自适应预测方法
%A Meng Qing-Fang
%A Zhang Qiang
%A Mu Wen-Ying
%A <br>孟庆芳
%A 张 强
%A 牟文英
%J 物理学报
%D 2006
%I 
%X Based on the short-term predictability of chaotic time series and the adaptive tracking chaotic trajectory of adaptive algorithm, a novel multi-step adaptive prediction method is proposed in this paper to resolve the problem of adjusting the filter parameters of the local adaptive prediction method during multi-step prediction. Simulation results show that this multi-step adaptive prediction method can be successfully used to make multi-step predictions, and its performance is better than that of the local adaptive prediction algorithm.
%K multi-step adaptive prediction method
%K local adaptive prediction method
%K chaotic time series<br>多步自适应预测方法
%K 局域自适应预测方法
%K 混沌时间序列
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=29DF2CB55EF687E7EFA80DFD4B978260&aid=43FE22C5B94D91A1&yid=37904DC365DD7266&vid=E514EE58E0E50ECF&iid=E158A972A605785F&sid=9E8E868F1632249A&eid=C8223A846BBA5EA7&journal_id=1000-3290&journal_name=物理学报&referenced_num=8&reference_num=8