Hybrid GA/SIMPLS as alternative regression model in dam deformation analysis
Hybrid GA/SIMPLS as alternative regression model in dam deformation analysis
复制标题
DOI：
10.1016/j.engappai.2011.09.020
复制
发表时间：
2012-04
期刊：
影响因子：
--
通讯作者：
Chang Xu;D. Yue;Chengfa Deng
中科院分区：
文献类型：
--
作者：
Chang Xu;D. Yue;Chengfa Deng
多重共线性和解释大坝回归模型系数的困难带来了两个问题：（1）选择用于分析大坝变形行为的信息变量，以及（2）减轻变量之间的多重共线性。解决这两个问题需要应用基于遗传算法的偏最小二乘法（GA-PLS）和统计启发的PLS算法修改（SIMPLS）。提出了采用 GA-PLS（混合 GA/SIMPLS 回归）选择的预测变量的 SIMPLS 回归来解释水工结构定期监测调查获得的结果。采用混合模型分析中国土石坝的裂缝行为。结果表明，所提出的模型优于普通 SIMPLS 和逐步回归，特别是当变量之间存在多重共线性和有影响力的异常值时。
Multicollinearity and difficulty of interpreting the coefficients of dam regression models pose two problems: (1) selection of informative variables for analysing dam deformation behaviour, and (2) mitigation of the multicollinearity among the variables. Resolving these two problems necessitates the application of genetic algorithm-based partial least square (GA-PLS) and statistically inspired modification of PLS algorithm (SIMPLS). A SIMPLS regression with the predictor variables selected by GA-PLS (hybrid GA/SIMPLS regression) is put forward to interpret the results obtained from periodic monitoring surveys of hydraulic structures. The hybrid model is employed for analysing the crack behaviour of an earth-rock dam in China. The results show the proposed model is superior to an ordinary SIMPLS and stepwise regression, especially when multicollinearity and influential outliers exist among the variables.