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????С???????LS-SVM????????????????????????
引用本文:秦永宽,黄声享,赵卿.????С???????LS-SVM????????????????????????[J].大地测量与地球动力学,2008,28(6):96-100.
作者姓名:秦永宽  黄声享  赵卿
作者单位:武汉大学测绘学院,武汉,430079
基金项目:国家交通部西部交通建设科技基金  
摘    要:?????С???????????????????LS-SVM??????????μ???????????????????μ????????н???С???????????C-C??????????????????????????????????????????????????????????????????LS-SVM??????н?????????BP??????????????????????????????????????С???????LS-SVM????????????????????н??????Ч????

关 键 词:???????????  ???????  С??????  ??С?????????????  ???η???  

PREDICTION MODEL OF CHAOTIC TIME SERIES BASED ON WAVELET DE-NOISING AND LS-SVM AND ITS APPLICATION
Qin Yongkuan,Huang Shengxiang,Zhao Qing.PREDICTION MODEL OF CHAOTIC TIME SERIES BASED ON WAVELET DE-NOISING AND LS-SVM AND ITS APPLICATION[J].Journal of Geodesy and Geodynamics,2008,28(6):96-100.
Authors:Qin Yongkuan  Huang Shengxiang  Zhao Qing
Institution:School of Geodesy and Geomatics, Wuhan University, Wuhan 430079
Abstract:On the basis of integrating the wavelet de noising, the theory of phase space reconstruction and LS SVM, a modeling and forecasting technique is put forward. First, the wavelet de noising is used to pre process data, then the best embedding dimension and time delay of nonlinear deformation data are calculated with the method called “C C”, the phase space is reconstructed as well. At last, the modeling prediction is carried out by LS SVM and also is compared with BP neural network. The results show that the prediction model of chaotic time series based on wavelet de noising and LS SVM is better.
Keywords:chaotic time series  phase space reconstruction  wavelet de nosing  LS SVM  deformation analysis
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