一种无偏模型在变形监测中的应用
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  • 英文篇名:Application of an unbiased model in deformation monitoring
  • 作者:陈鹏宇
  • 英文作者:CHEN Pengyu;School of Geography and Resources Science,Neijiang Normal University;
  • 关键词:变形监测 ; 无偏NGM(1 ; 1 ; k)模型 ; 灰色系统 ; 滑坡位移
  • 英文关键词:deformation monitoring;;unbiased NGM(1,1,k)model;;grey system;;landslide displacement
  • 中文刊名:CHKD
  • 英文刊名:Science of Surveying and Mapping
  • 机构:内江师范学院地理与资源科学学院;
  • 出版日期:2018-01-19 11:38
  • 出版单位:测绘科学
  • 年:2018
  • 期:v.43;No.237
  • 基金:国家自然科学基金项目(41302278)
  • 语种:中文;
  • 页:CHKD201803020
  • 页数:6
  • CN:03
  • ISSN:11-4415/P
  • 分类号:121-126
摘要
针对变形发展趋势多样性的特点,将无偏NGM(1,1,k)模型应用于变形监测数据的分析预测中,说明无偏NGM(1,1,k)模型可分别用于拟合近似线性-指数增长趋势变形序列、近似非齐次指数变形序列和近似齐次指数变形序列。根据监测数据的发展特点可选择适合的建模方法。实例分析结果显示,无偏NGM(1,1,k)模型具有良好的拟合和预测精度,可用于滑坡位移的分析预测中。
        According to the characteristics of diversity of the deformation development trend,the unbiased NGM(1,1,k)model is applied to analysis and prediction of deformation monitoring data.It is pointed out that unbiased NGM(1,1,k)model can be used to fit the approximate linear-exponential growth trend deformation sequence,the approximate nonhomogeneous deformation sequences and the approximate homogeneous exponential deformation sequence.The choice of modeling method should be made based on the development of the monitoring data.The example analysis results show that the unbiased NGM(1,1,k)model has good fitting and prediction accuracy,and can be applied in analysis and prediction of landslide displacement.
引文
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