摘要
本文在引入序列算子成功构造灰色序列的基础上,详细讨论了灰色预测模型的基本内容和两种动态灰色预测模型的实现,并成功将其应用于广州地铁变形监测的数据预报。实践及理论证明,新陈代谢灰色预测模型由于实时加入系统的最新信息,提高灰区间的白度,预测精度最高;灰数递补模型通过引入灰数,一定程度上也提高了预测的精度。新陈代谢灰色预测模型实践证明预测精度可达到一级。
After introducing the sequence operator to generate the gray sequence successfully, this paper discusses the fundamental contents of gray forecast model and the realization of two kinds of dynamic models. And the two kinds of dynamic gray forecast model are successfully applied in the deformation observation of subway in GuangZhou. The practice and the theory all prove that the precision of the metastasis gray forecast model is higher because it updates the system's information in real time and increases the whiteness of the gray interzone. And by introducing the gray data, the metastasis model’s forecasting precision can reach the first rank.
出处
《测绘科学》
CSCD
北大核心
2007年第4期121-123,共3页
Science of Surveying and Mapping
关键词
动态灰色模型
变形预测
序列算子
灰数递补
新陈代谢
dynamic gray model
deformation forecast
sequence operator
recruiting gray data
metastasis
作者简介
潘华志（1981-），男，安徽滁州人，解放军信息工程大学测绘学院硕士生，助理工程师，主要研究方向：灰色理论与应用、动态测量数据处理，及数字图像处理。E—mail：hb44god@tom．com
