摘要
为研究GM(1,1)模型初始条件对变形预测的影响,首先,讨论了不同视角下GM(1,1)初始条件选取的特点;其次,融合新陈代谢和新信息优先建模思想,提出基于初始条件滚动的RnGM模型;最后,通过实例将RnGM模型与已有的初始条件优化的GM(1,1)模型的预测结果进行比较。结果表明,RnGM具有较好的预测精度,更适合变形预测。
characteristics Reestablishment of the initial condition for GM ( 1,1 ) mode was introduced in the paper. Firstly, of different initial condition for GM ( 1,1 ) modeling has been discussed, then, a rolling initial condi- tion for GM ( 1,1 ) was established based on the fusion metabolic GM ( 1,1 ) and the principle of new information as first priority. Finally, RnGM was used to analyze and predict the deformation of surrounding rock in tunnels and subsidence of high-rise building. Comparison of the model with other models shows that RnGM model is able to improve the precision of prediction and therefore can be applied to deformation data analysis.
出处
《大地测量与地球动力学》
CSCD
北大核心
2014年第4期157-160,共4页
Journal of Geodesy and Geodynamics
基金
国家自然科学基金项目(41071328)
关键词
变形预测
初始条件
GM(1
1)模型
滚动建模
动态
deformation prediction
initial condition
GM ( 1,1 ) model
rolling modeling
dynamic