| 岩质边坡稳定性评价的粗糙集－支持向量机方法 |
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| 引用本文： | 刘勇健,李彰明,杨雪强.岩质边坡稳定性评价的粗糙集－支持向量机方法[J].工程地质学报(英文版),2009,17(3):332-338. |
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| 作者姓名： | 刘勇健 李彰明 杨雪强 |
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| 作者单位： | 广东工业大学岩土工程研究所 广州 510006 |
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| 摘 要： | 结合粗糙集和支持向量机两种智能算法，建立了基于粗糙集与支持向量机的岩质边坡稳定性评价模型。首先根据有限的经验数据建立属性决策表，通过属性约算法找出影响边坡稳定性的关键因素；然后将所提取的关键信息训练支持向量机。本文以铁路沿线边坡为例，进行边坡稳定性验算，结果表明算法能有效降低边坡稳定性影响因素集数据维数及支持向量机的复杂程度，提高训练速度和泛化能力。
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| 关 键 词： | 岩质边坡 稳定性评价 粗糙集 支持向量机 属性约简算法 |
ROUGH SET AND SUPPORT VECTOR MACHINE BASED METHOD FOR EVALUATION OF ROCK SLOPE STABILITY |
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| LIU Yongjian LI Zhangming YANG Xueqiang.ROUGH SET AND SUPPORT VECTOR MACHINE BASED METHOD FOR EVALUATION OF ROCK SLOPE STABILITY[J].Journal of Engineering Geology,2009,17(3):332-338. |
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| Authors: | LIU Yongjian LI Zhangming YANG Xueqiang |
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| Institution: | Institute of Geotechnical Engineering, Guangdong University of Technology, Guangzhou 510006 |
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| Abstract: | This paper uses the attribute reduction algorithm of rough sets and the classify function of support vector machines to establish a model of rock slope stability evaluation.At first,the rough set theory is used to acquire the knowledge of classification,which includes decision table construction,attribute discretization,attribute importance ranking,attribution reduction and rule Abstract.Then,the key components are extracted as the input of support vector machine.The method can reduce the dimensions of the ... |
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| Keywords: | Rock slope Stability evaluation Rough sets Support vector machines Attribute reduction |
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