APPLICATION OF DYNAMIC REGGRESSION MODEL IN DEFORMATION ANALYSIS
Deng Xingsheng 1) ;Chen Shiqiao 2) ; and Yin Zhicheng 1)
1)Department of Surveying Engineering, Changsha University of Science & Technology, Changsha 4100042)Hunan Electric Power Zhexi Hydro-electric Power Plant, Anhua 413508
Abstract The recursive least squares algorithm for dynamic regression model, which can be used in the online regression modeling for dynamic data sets, is deduced. When the new observations updating, the dynamic regression algorithm, by avoiding the increment of matrix size, and avoiding the computation of the inverter matrix, can decrease the computation time of solving model parameters. The algorithm is easy to be programmed and no iterative computation is needed. The simplicity and practicality have been verified by using the dynamic regression approach in Zhexi and Dongjiang Dam deformation prediction samples. By compared with other algorithms, the method can reduce computation time and improve prediction precision.
Key words ：
dynamic regression model
recursive least squares algorithm
data update
dynamic data sets
deformation analysis
Received: 01 January 1900
Corresponding Authors:
Deng Xingsheng
Cite this article:
Deng Xingsheng ,Chen Shiqiao ,and Yin Zhicheng . APPLICATION OF DYNAMIC REGGRESSION MODEL IN DEFORMATION ANALYSIS[J]. , 2011, 31(5): 132-135.
Deng Xingsheng ,Chen Shiqiao ,and Yin Zhicheng . APPLICATION OF DYNAMIC REGGRESSION MODEL IN DEFORMATION ANALYSIS[J]. jgg, 2011, 31(5): 132-135.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2011/V31/I5/132
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