Reliability evaluation of slope engineering by support vector machine

Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering

Volumn 24, Issue 1, 2005, Pages 149-153

  Lu, You Zhong ^a   Yang, You Zhen ^b   Zhang, Hui Lin ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

^b SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Reliability; Rock and soil mechanics; Slope engineering; Slope stability analysis; Support vector machines

Indexed keywords

LEARNING ALGORITHMS; NEURAL NETWORKS; RELIABILITY; ROCK MECHANICS; SOIL MECHANICS;

SLOPE ENGINEERING; SLOPE STABILITY ANALYSIS; STATISTICAL LEARNING THEORY (SLT); SUPPORT VECTOR MACHINES;

SLOPE STABILITY;

EID: 15944417549     PISSN: 10006915     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (17)

1. Whitman R V. Evaluation calculated risk in geomechanical engineering[J]. J. Geotech. Engrg., ASCE, 1984, 110(8): 145-188.
2. Dai Zihang, Shen Pusheng. Numerical solution of simplified Bishop method for stability analysis of soil slopes[J]. Rock and Soil Mechanics, 2002, 23(6): 760-764.(in Chinese)
3. Zhang Xing. Reliability Analysis for Slope Engineering[A]. In: Chen Xiangfu ed. Progress on Geomechanics[C]. Beijing: China Publishing House of Prospect, 1990. 31-40. (in Chinese)
4. Cho S E, Lee S R. Evaluation of surficial stability for homogeneous slopes considering rainfall characteristics[J]. Journal of Geotechnical and Geoenvironmental Engineering, ASCE, 2002, 128(9): 756-763.
5. He Jianmin, Qiu Xiande, Yan Zongling, et al. Study on fail-safe probability analysis of mine side slope[J]. Journal of Chongqing Industrial College, 1999, 13(3): 6-11.(in Chinese)
6. Zhang Sherong, Jia Shijun, Guo Huaizhi. Reliability analysis of the rock slope stability [J]. Rock and Soil Mechanics, 1999, 20(2): 57-61.(in Chinese)
7. Pradeep U K, Nitin K D. Neural networks for profiling stress history of clays from PCPT data[J]. Journal of Geotechnical and Geoenvironmental Engineering, ASCE, 2002, 128(7): 569-579.
8. Lin Lusheng, Feng Xiating, Bai Shiwei, et al. Application of artificial neural network to prediction of sliding slope[J]. Rock and Soil Mechanics, 2002, 23(4): 508-510.(in Chinese)
9. Vapnic V N. The Nature of Statistical Learning Theory[M]. New York: Springer-Verlag, 1995. 126-178.
10. Burges C J C. A tutorial on support vector machines for pattern recognition [J]. Data Mining and Knowledge Discovery, 1998, 2(2): 124-164.
11. Zhang Xuegong. Introduction to statistical learning theory and support vector machines [J]. Journal of Automatic Chemistry, 2000, 26(1): 32-42.(in Chinese)
12. Shevade S K. Improvements to the SMO algorithm for SVM regression[J]. IEEE, Transactions on Neural Networks, 2000, 11(5): 1188-1193.
13. Zhao Hongbo, Feng Xiating, Yin Shunde. Classification of engineering rock based on support vector machine[J]. Rock and Soil Mechanics, 2002, 23(6): 698-701.(in Chinese)
14. Feng Xiating, Zhao Hongbo. Predition of rockburst using support vector machine[J]. The Journal of East-north University (Natural Science), 2002, 23(1): 57-59.(in Chinese)
15. Pen Wenxuan, Liu Dongyan, Yang Jianguo. Analysis on safety factor of anchored rock masses[J]. Chinese Journal of Rock Mechanics and Engineering, 2002, 21(5): 684-687.(in Chinese)
16. Zhao Hongbo, Feng Xiating. Application of support vector machines function fitting in slope stability evaluation[J]. Chinese Journal of Rock Mechanics and Engineering, 2003, 24(4): 241-245.(in Chinese)
17. Sah N K, Sheorey P R, Upadhyaya L N. Maximum likelihood estimation of stability[J]. Int. J. Rock Mech. Sci. and Geomech. Abs., 1994, 31(1): 47-50.