摘要
利用GPS对矿山地表岩移进行观测,取10个周期的观测数据建立AR时间序列分析模型,并预测下一周期的GPS数据.实际结果表明,AR模型能很好地处理非线性动态数据,能够反映出各要素之间的非线性关系,预测精度高,具有较强的实用性.
By using GPS to observe the mine surface movement,AR model was built by the 10 cycles data to predict the next cycle GPS data.Actual results show that AR model can well deal with the nonlinear dynamic data and reflect the nonlinear relationship between the various element,which can forecast accurately and is very practical.
出处
《山东理工大学学报(自然科学版)》
CAS
2011年第4期79-81,共3页
Journal of Shandong University of Technology:Natural Science Edition