水文地质工程地质2011，Vol.38Issue(1)：110-113,4.
改讲欧拉算法的GM(1,1)模型预测滑坡变形
The landslide deformation prediction with improved Euler Method of Gray System Model GM(1,1)
摘要
Abstract
Based on study and analysis of conventional grey GM ( 1, 1 ) model, the Euler Method is improved to solve parameters of GM ( 1, 1 ) model, which is applied to predict landslide deformation with displacement monitoring data collected in the process of landslide treatment. It has higher precision than conventional grey GM ( 1, 1 ) model in the deformation of landslide . Taking one high-steep landslide of highway for example to forecast its deformation behavior, the prediction results and monitoring data show that the improved GM (1,1 ) method is more convenient and accurate compared with the conventional way. The predicting result agrees well with the monitoring data, which can be used to predict landslide deformation not only in low growth sequence of equal interval monitoring data, but also in high growth sequence. The reasonable result shows the validity and feasibility of the improved GM ( 1, 1 ) method for landslide displacement prediction.关键词
改进的GM(1,1)模型/欧拉算法/滑坡/变形预测分类
天文与地球科学引用本文复制引用
徐毅青,唐益群,李献勇,叶桂明..改讲欧拉算法的GM(1,1)模型预测滑坡变形[J].水文地质工程地质,2011,38(1):110-113,4.基金项目
"十一五"国家科技支撑计划(2008BAJ08B14-06) （2008BAJ08B14-06）
浙江省自然科学基金资助项目(Y107710) （Y107710）
