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。950 北京科技大学学报 第31卷 (李长洪,文俊,蔡美峰,等.水厂铁矿边坡加固设计及其稳定性 recognition.Data Min Knowl Disc,1998,2.121 分析.北京科技大学学报.2005.27(2):132) 11]Warg X Z.Fan Q.Xu CQ,c al.Based on wavelet transform and [4 Li C H.Zhang L Y,Cai M F,et al.The benchmark design of GPS SVM dam deformation forecast.Geomat Inf Sci Wuhan Univ, hndside monitoring and data pmocesing.Nonferrous Met (Min- 2008.33(5):469 ing Section),2005,57(3):33 (王新洲,范千,许承权等.基于小波变换和支持向量机的大 (李长洪,张丽英,蔡美峰,等.GS滑坡监测的基准设计和数 坝变形预测.武汉大学学报:信息科学版,2008,33(5):469) 据处理.有色金属(矿山部分),2005.57(3):33) 112 Lamorski K,Pachepsky Y.Slaw inski C.Using support vector [5 Han F,Xie F,Wang J A.3-D numerical simulation on the stability machines to develop pedotransfer functions for water retention of of rocks in transferred undergmound mining from operpit.JUniv soils in Poland.Soil Sci Soci Am J,2008,72(5):1243 Sci Technol Beijing,2006.28(6):509 13]Tian Z X.Qiao C S.Teng W Y.et al.Method of predicting tun- (韩放,谢芳,王金安.露天转地下开采岩体稳定性三维数值模 nel deformation based on aupport vector machines.China Rail 拟.北京科技大学学报.2006.28(6:509) Sd.2004.25(1):86 [6]Li Y H.Nan S Q.Zhao X D.Stability of boundary pillars for tran- (田执祥,乔春生,腰文彦,等.基于支持向量机的隧道变形预 sition from open-pit to undergmound mining.Chin Rock Mech 测方法.中国铁道科学,2004,25(1):86) Eng,2005.242):278 [14 Jiang A N.Forecasting nonlinear time seties of surrounding rock (李元辉,南世卿,赵兴东.露天转地下境界矿柱稳定性研究.岩 deformations of underground cavern based on PSO-SVM.Rock 石力学与工程学报,2005,242):278) Soil Mech,2007,28(6:1176 [7]Liu H.Chen W S,Feng X T.Numnerical modeling of Daye imn (姜谙男.基于PS0-SVM非线性时序模型的隧洞围岩变形预 open-pit-mine transferring to underground mining by discreteele- 报.岩土力学,2007.28(6):1176 ment method.Rock Soil Mech,2004,25(9):1413 [15]Mukherjee S.Osuna E.Girosi F.Nonlinear prediction of chaotic (刘辉,陈文胜,冯夏庭.大治铁矿露天转地下开采的离散元数 time series using support vector machines /Proceedings of the 值模拟研究.岩土力学,2004,25(9:1413) 7th IEEE Workshop on Neural Netwarks for Signal Processing. [8]Umehara S,YamzakiT,Sugai Y.A precipitation estimation sys- Amelia Island,1997:511 tem based on support vector machine and neural network.Elec- 16 Fang R M.Base of Application and Theory of Support Vector tron Comm un Jpn Par1 I11,2006,89(3):38 Machine.Beijing China Pow er Press,2007 [9]Nelo C,John S T.An Introduction to Support Vector Machines (方瑞明.支持向量机理论及其应用基础.北京:中国电力出版 and Other Kernel-based Learning Methods.London:Cambridge 社,2007 University Press,2000 17 Vapnic V N.Statistical Learning Theory.New York:John Wi- [10 Bulge C J C.A tutorial on support vector machines for pattern ley Sons.1998( 李长洪, 文俊, 蔡美峰, 等.水厂铁矿边坡加固设计及其稳定性 分析.北京科技大学学报, 2005, 27( 2) :132) [ 4] Li C H, Zhang L Y, Cai M F, et al.The benchmark design of GPS landslide monitoring and dat a processing .Nonf errous Met ( Min￾ing Section) , 2005, 57( 3) :33 (李长洪, 张丽英, 蔡美峰, 等.GPS 滑坡监测的基准设计和数 据处理.有色金属( 矿山部分) , 2005, 57( 3) :33) [ 5] Han F, Xie F, Wang J A.3-D numerical simulation on the st ability of rocks in transferred underground mining from open-pit .J Univ S ci Technol Beijing , 2006, 28( 6) :509 (韩放, 谢芳, 王金安.露天转地下开采岩体稳定性三维数值模 拟.北京科技大学学报, 2006, 28( 6) :509) [ 6] Li Y H, Nan S Q,Zhao X D.St ability of boundary pillars for tran￾siti on from open-pit to underground mining .Chin J Rock Mech Eng , 2005, 24( 2) :278 ( 李元辉, 南世卿, 赵兴东.露天转地下境界矿柱稳定性研究.岩 石力学与工程学报, 2005, 24( 2) :278) [ 7] Liu H, Chen W S , Feng X T .Numerical modeling of Daye iron open-pit-mine transferring to underground mining by discret e ele￾ment method.Rock Soil Mech, 2004, 25( 9) :1413 ( 刘辉, 陈文胜, 冯夏庭.大冶铁矿露天转地下开采的离散元数 值模拟研究.岩土力学, 2004, 25( 9) :1413) [ 8] Umehara S, Yamazaki T , Sugai Y .A precipit ation estimation sys￾t em based on support vect or machine and neural netw ork .Elec￾tron Comm un Jpn Part III, 2006, 89( 3) :38 [ 9] Nello C , John S T .An Introd uction to S upport Vector Machines and Other Ker nel-based Lear ning Methods.London:Cambridge Universit y Press, 2000 [ 10] Bulge C J C .A tutorial on support vector machines f or patt ern recogniti on.Data Min Knowl Disc, 1998, 2:121 [ 11] Wang X Z, Fan Q, Xu C Q, et al.Based on w avelet transf orm and SVM dam deformation forecast .Geomat In f Sci Wuhan Un iv , 2008, 33( 5) :469 ( 王新洲, 范千, 许承权, 等.基于小波变换和支持向量机的大 坝变形预测.武汉大学学报:信息科学版, 2008, 33( 5) :469) [ 12] Lamorski K, Pachepsky Y, S law inski C .Using support vector machines to develop pedotransf er functions f or water ret ention of soils in Poland.Soil Sci S oci Am J, 2008, 72( 5) :1243 [ 13] Tian Z X, Qiao C S, Teng W Y, et al.Method of predicting tun￾nel deformation based on support vector machines.China Rail S ci, 2004, 25(1) :86 ( 田执祥, 乔春生, 滕文彦, 等.基于支持向量机的隧道变形预 测方法.中国铁道科学, 2004, 25( 1) :86) [ 14] Jiang A N.Forecasting nonlinear time series of surrounding rock deformations of underground cavern based on PSO-SVM .Rock Soil Mech , 2007, 28( 6) :1176 ( 姜谙男.基于PSO-SVM 非线性时序模型的隧洞围岩变形预 报.岩土力学, 2007, 28( 6) :1176) [ 15] Mukherjee S , Osuna E, Girosi F.Nonlinear prediction of chaotic time seri es using support vect or machines ∥Proceedings of the 7 th IEEE Workshop on Neura l Networ ks for Signal Processing . Amelia Island, 1997:511 [ 16] Fang R M .Base of A ppli cation and Theory of S upport Vector Machine .Beijing:China Pow er Press, 2007 ( 方瑞明.支持向量机理论及其应用基础.北京:中国电力出版 社, 2007) [ 17] Vapnic V N .S tatistical Learning Theory .New York:John Wi￾ley &Sons, 1998 · 950 · 北 京 科 技 大 学 学 报 第 31 卷
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