摘要
将灰色系统理论应用于滑坡动态监测数据分析,提出了使用新陈代谢RGM(1,1)模型进行预测,并用最小二乘法求解模型参数;给出了模型精度的检验方法;以实际的滑坡观测数据为例,将分析和预测结果与传统GM模型进行比对,获得了更好的拟合数据和预测数据。
Grey system theory was used in the data analysis of landslide dynamic monitoring, and Grey Renewal GM （ 1, 1 ） Model was proposed to forecast the landslide. Least square was used to get the parameters of Grey Renewal GM （ 1, 1 ） model. Test methods were given to inspect the accuracy of the proposed model. According to the measured data of actual landslide, the analysis and prediction results of Grey Renewal GM （ 1 , 1 ） model were compared with those got by the traditional GM model. Comparison results show that the Grey Renewal GM （ 1, 1 ） model is better than the traditional GM model in accuracy, fitting data and forecasting data.
出处
《重庆交通大学学报（自然科学版）》
CAS
北大核心
2014年第5期92-94,共3页
Journal of Chongqing Jiaotong University(Natural Science)
关键词
环境工程
滑坡
动态监测
新陈代谢RGM(1
1)模型
预测
environmental engineering
landslide
dynamic monitoring
Renewal GM （ 1, 1 ） model
prediction
