| 基于支持向量机的边坡稳定性预测研究 |
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| 引用本文： | 陈祖云,张桂珍,邬长福,杨胜强.基于支持向量机的边坡稳定性预测研究[J].中国安全生产科学技术,2009,5(4):101-105. |
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| 作者姓名： | 陈祖云 张桂珍 邬长福 杨胜强 |
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| 作者单位： | 1. 江西理工大学资源与环境工程学院,赣州,341000
2. 中国矿业大学安全工程学院,徐州,221008 |
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| 基金项目： | 江西省教育厅资助项目:GJJ09240、赣教技字[2007]212号 |
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| 摘 要： | 针对边坡稳定性影响因素复杂，传统的稳定性分析存在计算量大、计算过程复杂的问题，提出了边坡稳定性的支持向量机预测方法。分析了边坡稳定性的影响因素，选择影响边坡稳定性的边坡重度、内聚力、摩擦角、边坡角、边坡高度、孔隙压力比6项指标为特征向量。并运行该方法对典型边坡实例进行了预测，预测结果与边坡稳定性实际状态及其它方法预测结果相吻合，表明了支持向量机在边坡稳定性预测中的可靠性和有效性。
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| 关 键 词： | 边坡稳定性 支持向量机 预测 |
Study of prediction of slope stability based on support vector machines |
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| CHEN Zu-yun,ZHANG Gui-zhen,WU Chang-fu,YANG Sheng-qiang.Study of prediction of slope stability based on support vector machines[J].Journal of Safety Science and Technology,2009,5(4):101-105. |
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| Authors: | CHEN Zu-yun ZHANG Gui-zhen WU Chang-fu YANG Sheng-qiang |
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| Institution: | 1.Faculty of Environmental and Architectural Engineering;Jiangxi University of Science and Technology;Ganzhou 341000;China;2.Faculty of Safety Science Engineering;China University of Mining and Technology;Xuzhou 221008;China |
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| Abstract: | The method of support vector machines was applied in the prediction of the slope stability in order to solve the problems such as the complexity of slope stability factors and the hugeness of computation workload by the traditional slope stability analysis method.The impact factors of slope stability were analysised,then six indicators,which include slope gravity,cohesion force,friction angle,slope angle,slope height and pore pressure ratio,were used in slope stability analysis and choosed as characteristic... |
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| Keywords: | slope stability support vector machines prediction |
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