贫信息条件下的多点变形预测模型及其应用

常用的单点变形分析方法没有利用监测点间相互关系的信息，不足以反映变形体整体的变形规律。本文将单点的变形预测模型扩展为多点的变形预测模型，建立了贫信息条件下的多点预测模型。进行了实例建模与分析，结果表明，多点预测模型为解决少数据，多因子的动态系统预测与分析提供了新的途径。

MULTI POINT DEFORMATION PREDICTION MODEL WITH POOR DATA INFORMATION AND ITS APPLICATION

Generally used methods for single point deformation analysis do not make full use of the relationship information among monitoring points. It can not represent integrated deformation regularity of the deformable body. This paper extends the single deformation prediction model into multi point model. The multi point prediction model with poor data information is established and the practical example is analyzed. It shows the multi point model is a new approach to the prediction technique with poor data information and multifactors for a dynamic system.