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		题名	作者	年代	出处	被引量
	1	Solving Multicollinearity in Dam Regression Model Using TSVD显示文摘Targeting the multicollinearity problem in dam statistical model and error perturbations resulting from the monitoring process,we built a regularized regression model using Truncated Singular Value Decomposition(TSVD).An earth-rock dam in China is presented and discussed as an example.The analysis consists of three steps:multicollinearity detection,regularization pa-rameter selection,and crack opening modeling and forecasting.Generalized Cross-Validation(GCV) function and L-curve criterion are both adopted in the regularization parameter selection.Partial Least-Squares Regression(PLSR) and stepwise regression are also included for comparison.The result indicates the TSVD can promisingly solve the multicollinearity problem of dam regression models.However,no general rules are available to make a decision when TSVD is superior to stepwise regression and PLSR due to the regularization parameter-choice problem.Both fitting accuracy and coefficients' reasonability should be considered when evaluating the model reliability.	XU Chang DENG Chengfa	2011	Geo-Spatial Information Science2011，14，3：	8
	2	Hybrid GA/SIMPLS as alternative regression model in dam deformation analysis显示文摘	Chang Xu Dongjie Yue Chengfa Deng	2011	Engineering Applications of Artificial Intelligence2011，，3：	1

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