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

基于时间序列模型的沉降监测预报分析
引用本文:钱建国,邵禹铮.基于时间序列模型的沉降监测预报分析[J].测绘与空间地理信息,2017(2):20-23.
作者姓名:钱建国  邵禹铮
作者单位:辽宁工程技术大学测绘与地理科学学院,辽宁阜新,123000
摘    要:时间序列模型预测具有可靠性与高效性的特点。本文结合沉降监测工程,采用Matlab进行建模预报分析,分别基于预测模型(AR、MA、ARMA)进行应用。对比自回归模型、滑动平均模型及自回归滑动平均模型预测结果的精度,表明3种模型可预测期连续分布,模型组合可提高预测精度。

关 键 词:时间序列模型  沉降监测  预测  Matlab  模型组合

Based on the Time Series Model Forecast Analysis of Settlement Monitoring
QIAN Jian-guo,SHAO Yu-zheng.Based on the Time Series Model Forecast Analysis of Settlement Monitoring[J].Geomatics & Spatial Information Technology,2017(2):20-23.
Authors:QIAN Jian-guo  SHAO Yu-zheng
Abstract:The time series forecasting model has high reliability and great efficiency.Combined with the settlement monitoring project,using Matlab for modeling and forecasting analysis,respectively based on the prediction model (AR,MA,ARMA) for application.The accuracy of the model is compared with the results of the auto regressive model,the moving average model and the autoregressive moving average model.The results show that the three models predictable period continuous distribution,dancedforcastingprecision based on model combination.
Keywords:time series model  settlement monitoring  forecasting  Matlab  model combination
本文献已被 CNKI 维普 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