桂林理工大学学报Issue(1)：85-88,4.DOI:10.3969/j.issn.1674-9057.2014.01.014
基于AR模型的建筑物沉降预测
Subsidence prediction of buildings based on AR model
摘要
Abstract
In order to cope with multiple collinearity problems of traditional regression model,due to the inde-pendent variables selection in the subsidence prediction for tall buildings,a time sequence (AR)model based on FPE to set the order is proposed.The subsidence of a farmers market in Guilin is the case in our research. The autocorrelation function and partial correlation function are used to determine and identify the model,and FPE order criteria is also used to determine the model order.On the basis of modeling analysis and observed buildings data,in a high predicted accuracy the mean square error is 0.055 6,and overcomes the problems in traditional regression model with a practical value.关键词
时间序列/AR模型/建筑物沉降/预测Key words
time series/AR model/subsidence of buildings/prediction分类
建筑与水利引用本文复制引用
朱军桃,李朋成..基于AR模型的建筑物沉降预测[J].桂林理工大学学报,2014,(1):85-88,4.基金项目
国家自然科学基金项目 （）
