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基于平稳自回归模型的地表移动变形预测
引用本文:朱小玉,杜仲进,杨虹云.基于平稳自回归模型的地表移动变形预测[J].测绘信息与工程,2012,37(4):29-30.
作者姓名:朱小玉  杜仲进  杨虹云
作者单位:1. 安徽理工大学测绘学院,淮南市舜耕中路168号,232001
2. 安徽国投新集刘庄矿业有限公司,阜阳市颍上县刘庄煤矿,236000
摘    要:采用AR(p)模型描述随机过程本身观测数据之间的相互关系,根据实测数据建立随机预测模型,对后三期变形量进行预报,并与实测数据进行比较,预报效果良好。

关 键 词:AR(p)模型  参数估计  变形预测

Prediction of Surface Distortion Based on Stable Auto-Regression Model
ZHU Xiaoyu,DU Zhongjin,YANG Dengyun.Prediction of Surface Distortion Based on Stable Auto-Regression Model[J].Journal of Geomatics,2012,37(4):29-30.
Authors:ZHU Xiaoyu  DU Zhongjin  YANG Dengyun
Institution:ZHU Xiaoyu DU Zhongjin YANG Dengyun (1 School of Geodesy andGeomatics, Anhui University of Science and Technology, Middle 168 Shungeng Road, Huainan 232001, China; 2 Anhui SDIC Xinji Liuzhuang Mining Company Limited, Yingshang County, Fuyang 236200, China)
Abstract:Many factors cause surface distortion in coal depletion region, so it can't be described with one function. We use AR(p)model to describe the relation among the data themselves, and built stochastic Forecast Model. Then, we give the prediction of three times later,and compare to measurement data.
Keywords:AR(p) model  parameter estimate  distortion forecast
本文献已被 CNKI 维普 万方数据 等数据库收录!
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