地理空间信息2024，Vol.22Issue(1)：74-77,4.DOI:10.3969/j.issn.1672-4623.2024.01.017
基于时变参数的灰色模型在变形监测中的应用
Application of Grey Model Based on Time-varying Parameter in Deformation Monitoring
摘要
Abstract
Aiming at the low fitting and prediction accuracy of traditional GM(1,1)prediction model,we established a grey model based on time-varying parameter in this paper.Firstly,we introduced the establishment processes of traditional grey GM(1,1)and second-order GM(2,1)model.Then,based on the principle of time-varying parameters to optimize grey action,we established grey GM(1,1)and GM(2,1)model based on time-varying parameter.Finally,taking the monitoring data of surface subsidence in the mining area for example,we carried out the prediction comparison and the accuracy evaluation of gray model through different gray model schemes.The experimental results show that GM(2,1)model based on time-varying parameter has the highest prediction accuracy,and the gray model accuracy test level is level Ⅱ,illustrating GM(2,1)mod-el based on time-varying parameter is more suitable for the deformation trend of surface monitoring data in this mining area.关键词
灰色GM(1,1)模型/灰色GM(2,1)模型/时变参数/精度检验Key words
grey GM(1/1)model/grey GM(2/1)model/time-varying parameter/accuracy test分类
测绘与仪器引用本文复制引用
樊海青,马彦凤..基于时变参数的灰色模型在变形监测中的应用[J].地理空间信息,2024,22(1):74-77,4.基金项目
广东省科技计划资助项目(2018B020207002). （2018B020207002）
