基于支持向量机的Q3黄土孔隙微观结构研究

[1] The surface fractal dimension of the soil–pore interface as measured by image analysis[J] . A Dathe,S Eins,J Niemeyer,G Gerold. &nbspGeoderma . 2001 (1)

[2] Weighted least squares support vector machines: robustness and sparse approximation[J] . J.A.K. Suykens,J. De Brabanter,L. Lukas,J. Vandewalle. &nbspNeurocomputing . 2002 (1)

[3] 中国黄土的孔隙类型与湿陷性 [J]. 中国科学(B辑 化学 生物学 农学 医学 地学), 1987, (12) : 1309 - 1318

[4] Determining the petrographicfabric of a compacted soil using semivariance analysis:sample preparation and digital petrographic imageanalysis. Dillon C G,Philip L K. Geoderma . 2004

[5] Weighted least squares support vector machines: robustness and sparse approximation. Suykens JAK, De Brabanter J, Lukas L, et al. Neurocomputing . 2002

[6] A Tlreshold Selection Method from Gray-Level Histo-grams. Otsu N. Automatica . 1975

[7] The surface fractal dimension of the soil-pore interface as measured by image analysis. Dathe A, Eins S, Niemeyer J, et al. Geoderma . 2001

[8] Support vector machines for histogram-based image classification. Chapelle O, Haffner P, Vapnik V N. IEEE Transactions on Neural Networks . 1999

[9] Influence ofimage resolution and evaluation algorithm on estimatesof the lacunarity of porous media. Pendleton D E,Dathe A,Baveye P. Physical Review E Statistical Nonlinear and Soft Matter Physics . 2005

[10] 郑西客运专线黄土路基震陷研究 [J]. 工程地质学报, 2009, 17 (04) : 557 - 562

[1] The surface fractal dimension of the soil–pore interface as measured by image analysis[J] . A Dathe,S Eins,J Niemeyer,G Gerold. &nbspGeoderma . 2001 (1)

[2] Weighted least squares support vector machines: robustness and sparse approximation[J] . J.A.K. Suykens,J. De Brabanter,L. Lukas,J. Vandewalle. &nbspNeurocomputing . 2002 (1)

[3] 中国黄土的孔隙类型与湿陷性 [J]. 中国科学(B辑 化学 生物学 农学 医学 地学), 1987, (12) : 1309 - 1318

[4] Determining the petrographicfabric of a compacted soil using semivariance analysis:sample preparation and digital petrographic imageanalysis. Dillon C G,Philip L K. Geoderma . 2004

[5] Weighted least squares support vector machines: robustness and sparse approximation. Suykens JAK, De Brabanter J, Lukas L, et al. Neurocomputing . 2002

[6] A Tlreshold Selection Method from Gray-Level Histo-grams. Otsu N. Automatica . 1975

[7] The surface fractal dimension of the soil-pore interface as measured by image analysis. Dathe A, Eins S, Niemeyer J, et al. Geoderma . 2001

[8] Support vector machines for histogram-based image classification. Chapelle O, Haffner P, Vapnik V N. IEEE Transactions on Neural Networks . 1999

[9] Influence ofimage resolution and evaluation algorithm on estimatesof the lacunarity of porous media. Pendleton D E,Dathe A,Baveye P. Physical Review E Statistical Nonlinear and Soft Matter Physics . 2005

[10] 郑西客运专线黄土路基震陷研究 [J]. 工程地质学报, 2009, 17 (04) : 557 - 562