OBGM(1,n)模型在大坝变形预测中的应用  

Application of Obgm(1,N) Model in Dam Deformation Prediction

作　　者：孙向军[1] 黄灵芝[1] SUN Xiangjun;HUANG Lingzhi(Xi'an University of Technology, Xi'an 710048,China)

机构地区：[1]西安理工大学

出　　处：《西北水电》2019年第4期95-99,共5页Northwest Hydropower

摘　　要：针对目前大坝变形常用灰色预测模型存在的不足,在含有修正项及灰色作用量的OBGM(1,n)模型基础上,建立利用粒子群算法优化背景值系数的大坝变形OBGM(1,n)预测模型。工程实例分析表明:OBGM(1,n)模型具有较高的预测精度,模型中运用的细节处理方法具有参考推广价值。In view of the shortcomings of the current gray prediction model for dam deformation, based on the OBGM (1, n ) model with correction term and gray action, the dam deformation OBGM (1, n ) prediction model using particle swarm optimization to optimize the background value coefficient is established. The engineering example analysis shows that the OBGM (1, n ) model has higher prediction accuracy, and the detailed processing method used in the model is worth reference and promotion.

关 键 词：多变量灰色模型 大坝变形 粒子群算法 预测 

分 类 号：TV698.11[水利工程—水利水电工程]