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偏最小二乘回归在大坝位移资料分析中的应用
引用本文:邓念武. 偏最小二乘回归在大坝位移资料分析中的应用[J]. 水电自动化与大坝监测, 2001, 25(6): 16-18
作者姓名:邓念武
作者单位:武汉大学水利水电学院,
摘    要:介绍了偏最小二乘回归的基本原理、建模基本思路和交叉有效性判别方法,编制了偏最小二乘回归程序;指出偏最小二乘回归可以很好地应用于大坝位移监测中。通过算例分析表明:建立的模型有很好的拟合和预报功能。

关 键 词:偏最小二乘回归  位移  资料分析
修稿时间:2001-06-29

APPLICATION OF PARTIAL LEAST SQUARE REGRESSION TO DAM DISPLACEMENT MONITORING DATA ANALYSIS
Deng Nianwu. APPLICATION OF PARTIAL LEAST SQUARE REGRESSION TO DAM DISPLACEMENT MONITORING DATA ANALYSIS[J]. HYDROPOWER AUTOMATION AND DAM MONITORING, 2001, 25(6): 16-18
Authors:Deng Nianwu
Affiliation:School of Water Resources and Hydropower. Wuhan University. Wuhan 430072
Abstract:The thesis discusses the basic principle. the basic modeling method. and the cross validation of Partial Least Square (PLS) regression. A program of PLS regression is compiled. It is considered that the PLS regression can be used to spatial displacement monitoring of dams. Analysis and examples indicate that the model of PLS regression can give good prediction.
Keywords:partial least square regression  displacement  data analysis
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