首页 | 本学科首页   官方微博 | 高级检索  
     

分位数回归在大坝变形监测中的应用
引用本文:袁国根. 分位数回归在大坝变形监测中的应用[J]. 江西水利科技, 2014, 0(4): 322-324
作者姓名:袁国根
作者单位:江西省水利规划设计院,江西南昌330029
摘    要:研究了基于分位数回归的大坝变形监测预测模型,并结合实例进行分析和预报,通过与多项式模型及指数平滑法的拟合精度和预测结果的比较,证明分位数回归法有很好的拟合效果和预测精度,可以很好地应用于大坝变形监测的数据处理中.

关 键 词:分位数回归  大坝变形监测  多项式模型  指数平滑法

Application Of quantile regression method in dam deformation monitoring
YUAN Guo-gen. Application Of quantile regression method in dam deformation monitoring[J]. Jiangxi Hydraulic Science & Technology, 2014, 0(4): 322-324
Authors:YUAN Guo-gen
Affiliation:YUAN Guo-gen (Jiangxi Provincial Water Conservancy Planning and Designing institute, Nanchang 330029, China)
Abstract:The forecast model of dam deformation monitoring based on quantile regression is introduced. Combined with the exam- pie of analysis and forecast and through comparing the fitting precision and the prediction results of the polynomial model and the exponential smoothing method, the quantile regression method has a higher fitting effect and prediction accuracy. It can be well applied to process the data of dam deformation monitoring.
Keywords:Quantile regression  Dam deformation monitoring  Polynomial model  Exponential smoothing method
本文献已被 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号