摘要
一般灰色模型是基于正向累加数据建立的,针对沉降系统的特点采用反向累加模型并且改进模型背景值的计算方法建立改进GOM模型,进行数据序列趋势项的提取,结合时间序列反映随机性的优点建立GOM和时间序列的组合模型进行沉降系统的数据预测,验证了方法预报的精确性和实用性。
A general grey model is based on the positive accumulated data.According to the characteristics of subsidence system,an improved GOM model through the reverse accumulation and an improved calculation method of background value of traditional GOM(1,1)model are established to exact the sequence trend of the data.Combinated with advantages of time series forecast model which reflects the randomness of the data,a GOM-AR model is set up to forecast the subsidende,so the accuracy and practicability of this method can be proved.
出处
《测绘工程》
CSCD
2014年第2期70-72,80,共4页
Engineering of Surveying and Mapping
关键词
灰色模型
反向累加
背景值
GOM-AR组合模型
沉降预测
grey model
reverse accumulation
background value
combination model of GOM-AR
subsidence prediction
