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| 基于数据残差的AR模型在高铁路基沉降预测中的应用 | |
| 引用本文： | 何超,黄声享,陈启文,包永刚.基于数据残差的AR模型在高铁路基沉降预测中的应用[J].测绘工程,2011,20(5):53-56. |
| 作者姓名： | 何超 黄声享 陈启文 包永刚 |
| 作者单位： | 1. 嘉兴市规划设计研究院有限公司,浙江嘉兴,314000 2. 武汉大学测绘学院,湖北武汉,430079 3. 太原市勘测测绘研究院,山西太原,030082 |
| 摘 要： | 传统的时间序列模型虽然可以通过差分形式来处理非平稳随机数据,但是当数据具有确定性效应的时候,对数据进行差分容易造成残差信息的浪费.通过对拟合后的残差建立AR模型,可以充分利用数据的趋势信息和残差信息,从而得到较好的预测效果. |
| 关 键 词： | 时间序列 拟合残差 路基沉降 预测 |
The application of Residual Auto-regressive Model in the roadbed settlement prediction of the high-speed railway |
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| HE Chao,HUANG Sheng-xiang,CHEN Qi-wen,BAO Yong-gang.The application of Residual Auto-regressive Model in the roadbed settlement prediction of the high-speed railway[J].Engineering of Surveying and Mapping,2011,20(5):53-56. | |
| Authors: | HE Chao HUANG Sheng-xiang CHEN Qi-wen BAO Yong-gang |
| Institution: | HE Chao1,HUANG Sheng-xiang2,CHEN Qi-wen1,BAO Yong-gang3(1.Jiaxing Planning and Researching Institute CO.,LTD,Jiaxing 314000,China,2.School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,3.Taiyuan Istitute of Surveying and Mapping,Taiyuan 030082,China) |
| Abstract: | Although the ARIMA model can process the non-stationary random data by calculus of differences,processing data with certain tendency through calculus of differences can easily lead to waste of residual information.By using the residual data after fitting the data curve,we can make full use of the trend information and the residual information.So we can get better prediction results. |
| Keywords: | time series residual roadbed settlement predict |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |