摘要
针对外界干扰对边坡变形预测精度影响较大的问题,从理论出发,通过对累加后递增序列数据拟合的优化,加入符合边坡变形特征的线性与非线性因素再拟合;考虑边坡变形的复杂性以及外界因素影响,引入滚动序列算法,以优化灰色模型,并结合紫金矿排土场边坡实例,证明优化后灰色模型预测的应用价值。
In view of the problem that the external disturbance has great influence on the prediction precision of the slope deformation, from the theory itself, through the optimization of the cumulative incremental sequence data fitting, adding the linear and non-linear factors which conform to the slope deformation characteristics, considering the complexity of the slope deformation and the influence of the external factors, the rolling se- quence algorithm is introduced to optimize the grey model, and the application value of the optimized grey model is proved by combining with the example of the slope of the purple gold deposit.
出处
《河南城建学院学报》
CAS
2017年第4期1-6,共6页
Journal of Henan University of Urban Construction
基金
国家自然科学基金项目(41172250)
国家重点研发计划课题(2016YFC0701810)
科技创新能力建设(PXM2017-014212-000015)
中冶交通建设集团科技项目(2017-SZ1)
国家十二五科技支撑项目(2012BAK09B06)
关键词
灰色模型
滚动序列
数据拟合
变形预测
gray model
rolling sequence
data fitting
deformation forecast
