摘要
应用了混沌时间序列预测方法,建立了沉降预测的非线性混沌模型,实现了长安大学B点高层住宅楼实际沉降监测数据进行预测计算。
According to the nonlinear characteristics of subsidence time series of high building,the nonlinear chaotic model is presented. Then the adding-weight one-rank local-region algorithm is proposed and applied in the forecasting calculation of the subsidence monitoring data obtained in the construction of Chang＇an University. The results show that the forecasting method based on nonlinear chaotic model is not only accurate but also of less calculation amount and easy to handle.
出处
《测绘信息与工程》
2009年第2期49-51,共3页
Journal of Geomatics
关键词
混沌时间序列
加权一阶局域法
相空间重构
沉降监测
chaotic time series
adding-weight one-rank local-region method
phase space reconstruction
subsidence monitor
