露天矿边坡稳定性预测的PCA-ART模型及其应用  

Prediction Model of Slope Stability in Open-pit Coal Mine by PCA-ARTand Its Application

作　　者：冯泽杰 FENG Ze-jie(School of Energy Engineering,Xi'an University of Science and Technology,Xi'an 710600,China)

机构地区：[1]西安科技大学能源学院,西安710600

出　　处：《煤炭技术》2020年第10期124-127,共4页Coal Technology

摘　　要：针对露天矿边坡稳定性预测模型中影响因子较多,BP算法收敛速度慢、容易陷入局部最优解等缺陷,提出了一种以Z-Score主成分分析及ART算法相结合的边坡稳定性预测模型。以某露天矿边坡为实例,以主成分分析筛选出边坡稳定的主要影响因子,利用ART算法模型计算出边坡的安全系数,最后与BP算法预测模型预测结果进行比较,结果表明:利用新模型的预测值对于实际边坡稳定安全系数吻合良好,且预测精度更高,可作为边坡稳定性预测的一种有效方法。In view of the defects of slope stability prediction model in the open-pit coal mine,such as many influencing factors.Slowing convergence rate of BP algorithm and easily falling into the local optimal solution,a prediction model combining Z-Score principal component analysis and ART algorithm wasproposed.With a certain open-pit coal mine slope as an example,with principal component analysis of main factors that influence the stability of the slope,screened out by ART algorithm model to calculate the safety factor of slope,finally compared with BP algorithm to predict model predicted result.The resultshowsthattheuseofthenew model of the predictedvaluesare ingood agreementwith thoseobtained for the actual slope stability safety coefficient and the prediction precision is higher,which can be used as an effective method for prediction of slope stability.

关 键 词：Z-Score主成分分析 ART算法 边坡稳定性 安全系数 

分 类 号：TD824.7[矿业工程—煤矿开采]