摘要
时间序列分析方法是建立变形测量预测模型的主要方法.本文就变形测量中用AR模型建立变形预测模型的参数估计问题以及模型阶次问题进行了探讨,并指出在样本观测值有限的条件下,宜采用最小二乘法及动态数据(DDS)方法建立动态变形的预测模型.
Time series analysis method is a main method by which deformation forecasting model is established in deformation measurements. This paper discusses the problems such as how to determine the model parameters and model rank when AR model is used to establish deformation forecasting model. It is pointed out in this paper that the least squares method and dynamic data system (DDS) is an appropriate method to establish deformation forecasting model when the sample is limited.
出处
《广州大学学报（自然科学版）》
CAS
2003年第6期556-559,共4页
Journal of Guangzhou University:Natural Science Edition
