670
Views
12
CrossRef citations to date
0
Altmetric
Original Articles

Determination of stability of epimetamorphic rock slope using Minimax Probability Machine

, &
Pages 186-193 | Received 14 Feb 2013, Accepted 04 Jan 2014, Published online: 13 Feb 2014

References

  • Adeli H, Panakkat A. 2009. A probabilistic neural network for earthquake magnitude prediction. Neural Netw. 22:1018–24.
  • Bacanli UG, Firat M, Dikbas F. 2009. Adaptive neuro-fuzzy inference system for drought forecasting. Stochastic Environ Res Risk Assess. 23(8):1143–1154.
  • Bishop AW. 1955. The use of slip circle in the stability of slopes. Geotechnical. 5(1):7–17.
  • Bishop AW, Morgenstern NR. 1960. Stability coefficients for earth slopes. Geotechnical. 10(4):129–150.
  • Chen Ch F, Xiao Zh Y, Zhang GB. 2011. Stability assessment model for epimetamorphic rock slopes based on adaptive neuro-fuzzy inference system Electronic. J Geotech Eng Bund A. 93–107.
  • Chen WF. 1975. Limit analysis and soil plasticity. Amsterdam: Elsevier.
  • Fellenius W. 1936. Calculation of stability of earth dams. Transactions of the Second Congress on Large Dams. Washington, 4–445.
  • Gao W. 2009. Analysis of stability of rock slope based on ant colony clustering algorithm. Rock Soil Mechanics. 30(11):3476–3480.
  • Goh ATC, Goh SH. 2007. Support vector machines: their use in geotechnical engineering as illustrated using seismic liquefaction data. Comput Geotechnics. 34:410–21.
  • Griffiths DV, Lane PA. 1999. Slope stability analysis by finite elements. Geotechnical. 49(3):387–403.
  • Hoi CH, Lyu MR. 2004. Robust face recognition using minimax probability machine. Technical Report, Department of Computer Science and Engineering: The Chinese University of Hong Kong, Hong Kong.
  • Huang CS, Hung SL, Wen CM, Tu TT. 2003. A neural network approach for structural identification and diagnosis of a building from seismic response data. Earthquake Eng Struct Dyn. 32:187–206.
  • Janbu N. 1957. Earth pressures and bearing capacity calculation by generalized procedure by slices. Proceedings, 4th International Conference on Soil Mechanics, London. 2:207–212.
  • Kecman V. 2001. Learning and soft computing: support vector machines, neural networks, fuzzy logic models. London: The MIT press).
  • Konstantanaras A, Varley MR, Vallianatos F, Collins G, Holifield P. 2004. A neuro-fuzzy approach to the reliable recognition of electric earthquake precursors. Nat Hazards Earth Sci. 4:641–646.
  • Kumar J, Samui P. 2006. Determination for layered soil slopes using the upper bound limit analysis. Geotechnical Geol Eng. 24(6):1803–1819.
  • Lanckriet GRG, Ghaoui LE, Bhattacharyya C, Jordan MI. 2002a. Mini-max probability machine. . In: Dietterich TG, Becker S, Ghahramani Z., editors. Advances in neural information processing systems. 14; p. 801–807.
  • Lanckriet GRG, Ghaoui LE, Bhattacharyya C, Jordan MI. 2002b. A robust minimax approach to classification. J Machine Learn Res. 3:555–582.
  • Lee RST, Liu JNK. 2000. Tropical cyclone identification and tracking system using integrated neural oscillatory leastic graph matching and hybrid RBF network track mining techniques. IEEE Trans Neural Netw. 11:680–689.
  • Lee TL. 2008. Back-propagation neural network for the prediction of the short-term storm surge in Taichung harbor, Taiwan. Eng Appl Artif Intell. 21:63–72.
  • Lui Y, Guo HC, Zou R, Wang, LJ. 2006. Neural network modelling for regional hazard assessment of debris flow in Lake Qionghai Watershed, China. Environ Geol. 49:968–976.
  • Michalowski RL. 1994. Limit analysis of slopes subjected to pore pressure. In: Srirwardane, Zaman, editors. Proceedings of the Conference on Comp. Methods and Advances in Geomech; Rotterdam, the Netherlands: Balkema.
  • Michalowski RL. 1995. Slope stability analysis: a kinematical approach. Geotechnical. 45(2):283–293.
  • Michalowski RL. 2002. Stability charts for uniform slopes. J Geotech Geoenviron Eng ASCE. 128(4):351–355.
  • Mishra AK, Desai VR, Singh, VP. 2007. Drought forecasting using a hybrid stochastic and neural network model. J Hydrol Eng. 12(6):626–638.
  • Morgenstern NR, Price VE. 1965. The analysis of the stability of general slips surfaces. Geotechnical. 15(1):79–93.
  • Park D, Rilett LR. 1999. Forecasting freeway link ravel times with a multi-layer feed forward neural network. Comput Aided Civil Infrastructure Eng. 14:358–367.
  • Pradhan B, Lee S. 2007. Utilization of optical remote sensing data and GIS tools for regional landslide hazard analysis by using an artificial neural network model. Earth Sci Front. 14(6):143–152.
  • Sah NK, Sheorey PR, Upadhyaya, LN. 1994. Maximum likelihood estimation of slope stability. Intl J Rock Mech Min Sci Geomech. 31(1):47–53.
  • Samui P. 2008. Support vector machine applied to settlement of shallow foundations on cohesionless soils. Comput Geotechnics. 419–427.
  • Samui P. 2012. Support vector classifier analysis of slope. Geomatics Nat Hazards Risk. 1–12.
  • Sezer EA, Pradhan B, Gökceoğlu C. 2011. Manifestation of an adaptive neurofuzzy model on landslide susceptibility mapping: Klang valley, Malaysia. Expert Syst Appl. 38(7):8208–8219.
  • Taylor DW. 1948. Fundamental of soil mechanics. New York: John Wiley.
  • Vapnik VN. 1998. Statistical learning theory. New York: Wiley.
  • Yang CX, Tham LG, Feng XT, Wang YJ, Lee PKK. 2004. Two-stepped evolutionary algorithm and its application to stability analysis of slopes. J Comput Civ Eng. 18(2):145–153.
  • Zhou Y, Huan J, Hao H, Li D. 2013. Video text detection via robust minimax probability machine. Int J Digital Content Technol Appl. 7(1):679–686.
  • Zhou Y, Wang R, Xia K. 2011. Nonlinear prediction of fast fading channel based on minimax probability machine. Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011. No. 5975626, p. 451–454.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.