%0 Journal Article
%T APPLICATION OF CHAOTIC TIME SERIES-LEAST SQUARE SUPPORT VECTOR MACHINE IN DAMS'''' SAFETY MONITORING PREDICTION<br>混沌-支持向量机在大坝安全监控预测中的应用
%A Zhao Qing
%A Li Xiao
%A Xu JinJun
%A Mi Tianyue
%A <br>赵 卿
%A 李 潇
%A 徐进军
%A 宓天跃
%J 大地测量与地球动力学
%D 2008
%I 
%X A new model(chaotic time series-least square support) is put forward for solving the problem of medium-long time prediction by use of the dam's nonlinear deformation data affected by the outer factors.Firstly,the nonlinear deformation data's phase space is reconstructed based on the phase space reconstruction theory.Then LSSVM(Least Square Support Vector Machine) is used to model and make the medium-long time prediction from the data in the reconstruction phase space integrated with the outer factors based on the statistics-learning theory.An example testifies the model is effective.
%K chaotic time series
%K LSSVM(Least Square Support Vector Machine)
%K dams' deformation
%K safety monitoring
%K medium-long time prediction<br>混沌时间序列
%K 最小二乘支持向量机
%K 大坝变形
%K 安全监控
%K 中长期预报
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=DA72A78627FE64EAA572951EA05D274A&jid=73A1A428591E600EF664B596512A2997&aid=CAE3520478121FCCD6297FE491D44EA7&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=0B39A22176CE99FB&sid=EDA22B444205D04A&eid=EFD65B51496FB200&journal_id=1671-5942&journal_name=大地测量与地球动力学&referenced_num=3&reference_num=13