%0 Journal Article
%T Adaptive predict-filter of chaotic time series constructed Based on the neighbourhood in the reconstructed phase space(Ⅱ) nonlinear adaptive filter<br>基于相空间邻域的混沌时间序列自适应预测滤波器(Ⅱ)非线性自适应滤波
%A Gan Jian-Chao
%A Xiao Xian-Ci
%A <br>甘建超
%A 肖先赐
%J 物理学报
%D 2003
%I 
%X A kind of adaptive nonlinear predict-filter of chaotic time series using the neighbourhood in the reconstructed phase space,the minimum square-root-error criterion and the steepest descent principle is proposed.It can convert the time domain into the multi-dimensional vector domain, and predict chaotic time series by nonlinear filter. The result of computer simulation illustrates that the algorithm is available to predict some chaotic series and anti-noise.
%K chaotic time series
%K reconstructed vector
%K nonlinear adaptive prediction
%K the minimum square root error criterion<br>混沌时间序列，
%K 重构矢量，
%K 最小均方误差准则，
%K 非线性自适应预测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=29DF2CB55EF687E7EFA80DFD4B978260&aid=58ACBBE16FCDC477&yid=D43C4A19B2EE3C0A&vid=286FB2D22CF8D013&iid=94C357A881DFC066&sid=47D3259DD85FC8F7&eid=DFBBF6D86DD97199&journal_id=1000-3290&journal_name=物理学报&referenced_num=3&reference_num=18