Title :
Notice of Retraction
Application of nonparametric regression model in predicting ultimate bearing capacity
Author :
Li Chun-hong ; Kuang Wen-zhu ; Zhang Ke-juan
Author_Institution :
Coll. of Math. & Inf. Sci., Guangxi Univ., Nanning, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Studying the prediction of the ultimate bearing capacity. This paper discussed the local average kernel estimator and local polynomial kernel estimator in nonparametric regression model firstly. Then the nonparametric regression model of the bridge´s ultimate bearing capacity is built by using the direct plug-in bandwidth selectors, building. Finally, the model acquires higher accuracy estimate result and confidence interval.
Keywords :
bridges (structures); condition monitoring; nonparametric statistics; polynomial approximation; regression analysis; structural engineering; bridge ultimate bearing capacity; direct plug-in bandwidth selector; local average kernel estimator; local polynomial kernel estimator; nonparametric regression model; bandwidth; local polynomial kernel estimator; ultimate bearing capacity;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
DOI :
10.1109/ICCASM.2010.5619371
