摘要
提出了先对序列进行平滑处理,再建立灰色动态组合模型,分析了实测数据的计算结果,实现了较高的预测精度。
The GM （1, 1） model has poor fitting and prediction accuracy for the comparatively large random fluctuations data. To solve this problem, firstly, the data are smoothed to weaken random fluctuations, and then the grey dynamic combination model is established to improve forecast accuracy. The example shows the GM （1,1） model＇ s prediction accuracy after smoothing the data is higher then without smoothing, and the forecast accuracy of gray dynamic combination model based on this smoothing data is higher the that of the single GM （1,1） model.
出处
《测绘信息与工程》
2008年第6期39-40,共2页
Journal of Geomatics
基金
国家自然科学基金资助项目(40574006)
关键词
三点平滑
灰色动态组合模型
变形预测
three point smoothing
grey dynamic combination model
deformation forecast
