岩质边坡稳定性评价的粗糙集-支持向量机方法
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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。
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 data and the complexity,and raises the efficiency of training and the accuracy of prediction.The effect extent to the slope stability of these factors can be obtained.The analyzed results show that this method can predict stability and destroy style of slope.
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 data and the complexity,and raises the efficiency of training and the accuracy of prediction.The effect extent to the slope stability of these factors can be obtained.The analyzed results show that this method can predict stability and destroy style of slope.
引文
[1]卢才金,胡厚田,徐建平.改进的BP网络在岩质边坡稳定性评判中的应用[J].岩石力学与工程学报,1999,18(3):303~307.Lu Caijin,Hu Houtian,Xu Jianping.Application of improvedback-propagation network in the evaluation of rock slope.Chi-nese Journal of Rock Mechanics and Engineering,1999,18(3):303~307.
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[7]刘沐宇,朱瑞赓.基于范例推理的边坡稳定性评价模型[J].岩石力学与工程学报,2001,20(1):1075~1078.Liu Muyu,Zhu Ruigen.Model of slope stability evaluation usingcase based reasoning.Chinese Journal of Rock Mechanics and En-gineering,2001,20(1):1075~1078.
[8]阎维明,乔亚玲.粗糙集理论在震害预测中的应用[J].自然灾害学报,2006,15(3):147~151.Yan Weiming,Qiao Yaling.Application of rough set theory to pre-diction of seismic damage.Journal of Natural Disasters,2006,15(3):147~151.
[9]刘勇健,刘义建等.基于粗糙集-支持向量机的震害预测模型及应用[J].地震研究,2008,31(3):289~295.LIUYong-jian,LIUYi~jian,ZHANG Bo-you.Seismic damageprediction model and application based on rough set and SupportVector Machine.Journal of Seismological Research,2008,31(3):289~295.
[10]Vapnic V N.The nature of statistical learning theory[M].NewYork:Springer-Verlag,1995,126~178.
[2]赵洪波,冯夏庭.支持向量机函数拟合在边坡稳定性估计中的应用[J].岩石力学与工程学报,2003,22(2):241~245.Zhao Hongbo,Feng Xiating.Application of support vector ma-chines function regression in the evolution stability of slope.Chi-nese Journal of Rock Mechanics and Engineering,2003,22(2):241~245.
[3]罗战友,杨晓军,龚晓南.基于支持向量机的边坡稳定性预测模型[J].岩石力学与工程学报,2005,24(1):144~148.Luo Zhanyou,Yang Xiaojun,Gong Xiaonan.Support vector ma-chine model in slope stability evaluation.Chinese Journal of RockMechanics and Engineering,2005,24(1):144~148.
[4]陆有忠,杨有贞.边坡可靠性的支持向量机估计[J].岩石力学与工程学报,2005,24(1):149~153.Lu Youzhong,Yang Youzhen.Reliability evaluation of slope engi-neering by support vector machine.Chinese Journal of Rock Me-chanics and Engineering,2005,24(1):149~153.
[5]刘沐宇,冯夏庭.基于神经网络范例推理的边坡稳定性评价方法[J].岩土力学,2005,26(2):193~197.Liu Muyu,Feng Xiating.Evaluation of slope stability based oncase-based reasoning integrated with neural network.Rock andSoil Mechanics,2005,26(2):193~197.
[6]刘勇健.混沌时间序列在边坡位移预测中的应用[J].辽宁工程技术大学学报,2007,26(1):74~76.Liu Yongjian.Application of chaotic time-series in slope dis-placement forecasting.Journal of Liaoning Technical University,2007,26(1):74~76.
[7]刘沐宇,朱瑞赓.基于范例推理的边坡稳定性评价模型[J].岩石力学与工程学报,2001,20(1):1075~1078.Liu Muyu,Zhu Ruigen.Model of slope stability evaluation usingcase based reasoning.Chinese Journal of Rock Mechanics and En-gineering,2001,20(1):1075~1078.
[8]阎维明,乔亚玲.粗糙集理论在震害预测中的应用[J].自然灾害学报,2006,15(3):147~151.Yan Weiming,Qiao Yaling.Application of rough set theory to pre-diction of seismic damage.Journal of Natural Disasters,2006,15(3):147~151.
[9]刘勇健,刘义建等.基于粗糙集-支持向量机的震害预测模型及应用[J].地震研究,2008,31(3):289~295.LIUYong-jian,LIUYi~jian,ZHANG Bo-you.Seismic damageprediction model and application based on rough set and SupportVector Machine.Journal of Seismological Research,2008,31(3):289~295.
[10]Vapnic V N.The nature of statistical learning theory[M].NewYork:Springer-Verlag,1995,126~178.
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