摘要
将高层建筑沉降监测数据视为具有确定性趋势的非平稳时间序列,运用灰色GM(1,1)模型提取其中的趋势项,用AR(n)模型表示随机残差项,利用灰色 时序组合模型进行沉降预测.算例结果表明,该组合模型具有较高的预测精度,是一种简单、实用的高层建筑沉降预测方法.
The data of the subsidence of high buildings can be treated as unstable time sequence with predictable trend, after the GM(1,1) model is converted into GMTSA one——a combinatory model, and then the subsidence can be predicted. The results show that this new model works well, it is a useful and easy way to predict the subsidence of high buildings.
出处
《宁夏大学学报(自然科学版)》
CAS
2003年第1期60-62,共3页
Journal of Ningxia University(Natural Science Edition)
基金
宁夏自然科学基金资助项目(A003)