郝哲, 王振伟, 陈殿强, 刘海洋. 深凹露天矿高边坡变形的组合预测模型[J]. 煤矿安全, 2012, 43(11): 74-76,77.
    引用本文: 郝哲, 王振伟, 陈殿强, 刘海洋. 深凹露天矿高边坡变形的组合预测模型[J]. 煤矿安全, 2012, 43(11): 74-76,77.
    HAO Zhe, WANG Zhen-wei, CHEN Dian-qiang, LIU Hai-yang. Combined Prediction Model of Deep Open Pit High Slope Deformation[J]. Safety in Coal Mines, 2012, 43(11): 74-76,77.
    Citation: HAO Zhe, WANG Zhen-wei, CHEN Dian-qiang, LIU Hai-yang. Combined Prediction Model of Deep Open Pit High Slope Deformation[J]. Safety in Coal Mines, 2012, 43(11): 74-76,77.

    深凹露天矿高边坡变形的组合预测模型

    Combined Prediction Model of Deep Open Pit High Slope Deformation

    • 摘要: 建立了神经网络-时间序列组合模型,以神经网络提取趋势项,时序方法拟合随机项,更全面地考虑了诱发边坡变形的各种因素,克服了单一模型的缺陷。结合跟踪算法,对东明矿南帮、西帮测点时序分别建模分析,并同单一的时序模型、神经网络模型拟合结果进行对照,表明组合模型具有更加理想的拟合与预测效果。

       

      Abstract: The paper establishes neural network-time series combined model;the trend term is extracted by the neural network,and random items are fitted by time series.Various factors leading to slope deformation are taken into more comprehensive consideration;it overcomes the defects of single models Combined with tracking algorithm,the southern slope and western slope of Dongming coal mine were analyzed through the combined model.Then,the result was compared with fitting results of single time series model and neural network model.The result shows that combined model has better fitting and forecasting ability in slope system analysis.

       

    /

    返回文章
    返回