基于LS-SVM的边坡稳定性预测研究

Study on Slope Stability Prediction Based on LS-SVM

针对边坡工程稳定性估计的复杂性,将最小二乘支持向量机引入到边坡稳定性估计的研究中,分别建立了边坡安全系数预测的最小二乘支持向量机模型和边坡稳定状态预测的最小二乘支持向量机模型,以实例数据为学习样本和测试样本,讨论了基于最小二乘支持向量机的边坡稳定性分析方法及其可行性.该方法具有一定的工程参考和实用价值.

Because of complexity in slope stability evaluation, the least square support vector machine is used in slope stability evaluation, the least square support vector machine（LS-SVM） evaluation model for slope safety modulus and slope stability status is established. Based on a large set of slope samples, practical effectiveness of the theory of the least square support vector machine for slope safety prediction is discussed. The results show that the LS-SVM method has excellent capability in studying and good application prospects .