Method to predict slope safety factor using SVM

Earth and Space 2012 - Proceedings of the 13th ASCE Aerospace Division Conference and the 5th NASA/ASCE Workshop on Granular Materials in Space Exploration

Volumn , Issue , 2012, Pages 888-899

  Li, Junhong ^a   Dong, Mingjuan ^a  

^a HOHAI UNIVERSITY   (China)

Author keywords

Data mining; Forecasting model; Regression equation; Slope stability; Support vector machine

Indexed keywords

DATA MINING; EARTH (PLANET); FORECASTING; GRANULAR MATERIALS; NASA; SAFETY FACTOR; SAMPLING; SLOPE PROTECTION; SUPPORT VECTOR MACHINES;

CLASSIFICATION CRITERION; CLASSIFICATION MARGINS; DECISION FUNCTIONS; FORECASTING MODELING; HIGHER-DIMENSIONAL; IDENTIFICATION METHOD; INPUT PARAMETER; REGRESSION EQUATION;

SLOPE STABILITY;

EID: 84874243903     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/9780784412190.095     Document Type: Conference Paper

References (16)

1. Chen, X.M., and Luo, G.Y. (1999). "Grey system and evaluation of stability based on experience." Chinese Journal of Geotechnical Engineering (in Chinese), 21 (3), 638-641.
2. Feng, X.T., Wang, Y.J. and Ding, E.B (1995). "Intelligent method of stability analysis of open-pit slopes." Journal of Northeastern University (in Chinese), 16 (5), 453-457.
3. Feng, X.T., Wang, Y.J., and Lu, S.Z. (1995). "Neural network estimation of slope stability." Journal of Engineering Geology (in Chinese), 3 (4), 54-61.
4. Feng, X.T., and Hudson, J.A. (2003). "The ways ahead for rock engineering design methodologies." International Journal of Rock Mechanics & Mining Sciences, 41, 255-273.
5. Ferentinou, M.D., and Sakellariou, M.G. (2007) "Computational intelligence tools for the prediction of slope performance." Computers and Geotechnics, 34(5), 362-384.
6. Fyson, M., and Toll, D.G. (2008). "Case-based system for slope design." Computers and Geotechnics, 35(3), 468-478.
7. Huang, Z.Q., Cui, J.L, and Liu, H.D (2004). "Chaotic neural network method for slope stability prediction." Chinese Journal of Rock Mechanics and Engineering (in Chinese), 23 (22), 3808-3812.
8. Hwang, S.G., and Guevarra, I.F., and Yu, B.O. (2009). "Slope failure prediction using a decision tree: A case of engineered slopes in South Korea.", Engineering Geology, 104(1-2), 126-134.
9. Li, J.H., and Wang, F. (2010). "Study on the forecasting models of slope stability under data mining." Earth and Space 2010: Engineering, Science, Construction, and Operations in Challenging Environments, 765-776.
10. Li, Z.M. (1996). "Application of fuzzy analysis in slope stability evaluation." Chinese Journal of Rock Mechanics and Engineering (in Chinese), 15(5), 490-495.
11. Sinha, A.K., and Sengupta, M. (1989). "Expert system approach to slope stability." Mining Science and Technology, 8(1), 21-29.
12. Vapnik, V. (1998). Statistical Learning Theory, Springer-Verlag, New York.
13. Wang, H.B., Xu, W.Y., and Xu, R.C. (2005). "Slope stability evaluation using Back Propagation Neural Networks.", Engineering Geology, 80(3-4), 302-315.
14. Xue, X.H., Zhang, W.H., and Liu, H.J. (2007). "Evaluation of slope stability based on genetic algorithm and fuzzy neural network." Rock and Soil Mechanics (in Chinese), 28 (12), 2643-2648.
15. Zhao, H.B., and Feng, X.T. (2003). "Application of support vector machines function fitting in slope stability evaluation." Chinese Journal of Rock Mechanics and Engineering (in Chinese), 22(2), 241-245.
16. Zhao, H.B., and Feng, X.T. (2003). "Study and application of genetic-support vector machine for nonlinear displacement time series forecasting." Chinese Journal of Geotechnical Engineering (in Chinese), 25(4), 468-471.