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.
作者
孙向军
黄灵芝
SUN Xiangjun;HUANG Lingzhi(Xi'an University of Technology, Xi'an 710048,China)
出处
《西北水电》
2019年第4期95-99,共5页
Northwest Hydropower
关键词
多变量灰色模型
大坝变形
粒子群算法
预测
multivariate grey model
dam deformation
particle swarm optimization
prediction
