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BP神经网络在露天矿边坡稳定性分析中的应用
引用本文:程纬华,乔登攀,张磊,陈偶,侯国权.BP神经网络在露天矿边坡稳定性分析中的应用[J].矿冶,2012,21(2):10-14.
作者姓名:程纬华  乔登攀  张磊  陈偶  侯国权
作者单位:昆明理工大学国土资源工程学院,昆明,650093
基金项目:国家自然科学基金资助项目
摘    要:对边坡进行稳定性分析是治理边坡工程的基础,正确确定露天矿边坡稳定性对于露天矿山工程具有非常重要的意义。本文在分析国内外大量露天矿边坡稳定性研究成果的基础上,采用改进的BP神经网络算法建立了露天矿边坡稳定性分析的神经网络预测模型,并对模型的预测精度进行了验证,结果表明,实际输出与期望输出基本吻合。将所建立的网络模型应用某露天矿边坡稳定性预测,取得了较好的效果。

关 键 词:BP神经网络  边坡稳定性  安全系数
收稿时间:2011/12/14 0:00:00
修稿时间:2012/3/23 0:00:00

Application of BP Networks in the Stability Analysis of Slopes in the Open-pit Mine
Cheng Wei-hu,Qiao deng-pan,Zhang lei,Chen ou and Hou guo-quan.Application of BP Networks in the Stability Analysis of Slopes in the Open-pit Mine[J].Mining & Metallurgy,2012,21(2):10-14.
Authors:Cheng Wei-hu  Qiao deng-pan  Zhang lei  Chen ou and Hou guo-quan
Affiliation:(Faculty of Land Resource Engineering,Kunming University of Science and Technology,Kunming 650093,China)
Abstract:Slope stability analysis is the basis of governance of the slope engineering,accurate determination of the slope stability has very important significance to open pit mining project.Based on analyzing a large number of open pit slope stability study at home and abroad,this paper adopts the improved BP neural network algorithm to establish a model for open pit slope stability analysis,and the precision of the model is further validated.The results show that actual output and expected output are basically consistent.The network model developed is used to predict the slope stability of open-pit mine,and good results are obtained.
Keywords:BP neural network  slope stability  safety coefficient
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