宁夏大学学报（自然科学版）2012，Vol.33Issue(3)：250-253,4.
基于LS-SVM的边坡稳定性预测研究
Study on Slope Stability Prediction Based on LS-SVM
摘要
Abstract
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 .关键词
边坡稳定性/支持向量机/分类/函数估计Key words
slope stability/ support vector machine/ classification/ function estimation分类
建筑与水利引用本文复制引用
马海兴,张刚..基于LS-SVM的边坡稳定性预测研究[J].宁夏大学学报（自然科学版）,2012,33(3):250-253,4.基金项目
宁夏自然科学基金资助项目(NZ1001) （NZ1001）
宁夏大学科学研究基金资助项目(NDZR10-68) （NDZR10-68）
