首页 | 本学科首页   官方微博 | 高级检索  
     检索      

马尔可夫残差修正模型的高铁路基变形预测
引用本文:靳鹏伟,何永红,陈青海.马尔可夫残差修正模型的高铁路基变形预测[J].测绘科学,2017,42(7).
作者姓名:靳鹏伟  何永红  陈青海
作者单位:1. 湖南科技学院土木与环境工程学院,湖南永州,425199;2. 杭州经纬信息技术股份有限公司,杭州,310000
基金项目:国家自然科学基金项目,湖南省自然科学基金项目,湖南省教育厅科学研究项目,湖南省教育厅科学研究重点项目,永州市指导性科技计划项目“InSAR在地表沉降观测中的应用研究”
摘    要:针对灰色系统模型在变形预测中存在预测结果不理想的问题,给出马尔可夫残差修正模型,首先应用灰色预测模型对未来的沉降变形进行预测,然后用马尔可夫过程对预测结果修正,提高预测精度。应用表明:马尔可夫残差修正模型的预测值与观测数据的拟合结果优于传统灰色系统预测模型以及残差修正模型,其预测精度明显提高,沉降预测值更为可靠,可为工程监测提供科学决策依据。

关 键 词:灰色模型  马尔可夫  高速铁路  变形

Deformation prediction of high speed railway subgrade based on Markov besidual error correction model
JIN Pengwei,HE Yonghong,CHEN Qinghai.Deformation prediction of high speed railway subgrade based on Markov besidual error correction model[J].Science of Surveying and Mapping,2017,42(7).
Authors:JIN Pengwei  HE Yonghong  CHEN Qinghai
Abstract:Aiming at the problem that the gray system model is not ideal in the deformation prediction,the Markov residual correction model is proposed.Firstly,the gray prediction model is used to predict the settlement and deformation.Then the Markov process is used to modify the prediction results and improve prediction accuracy.The results show that the prediction results of the Markov residual correction model are better than those of the traditional gray system prediction model and the residual correction model.The prediction accuracy is obviously improved and the prediction value of the settlement is more reliable,and the method can provide scientific decision basis for the engineering monitoring.
Keywords:grey model  Markov  high-speed railway  deformation
本文献已被 CNKI 万方数据 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