基于极限学习机方法的边坡稳定性分析

Slope stability analysis based on Extreme Learning Machine Method

为了实现对边坡安全系数的预测,选取了60组边坡稳定性影响因素和对应安全系数作为数据样本,利用极限学习机(ELM)建立了边坡的稳定性分析模型,指出实验结果与传统的BP神经网络和极限平衡法方法的计算结果非常接近,表明极限学习机可以用来进行边坡稳定性预测和判断。

In order to achieve the prediction of slope safety factor,the model of slope stability analysis is established by ELM with 60 sets of data on influences and corresponding safety factor in the paper. Compared to the results computed by the traditional BP-ANN and Limit Equilibrium Method,the experimental results show that the ELM method can be used to predict and determine slope stability.