Chapter
Apr 26, 2012
Study on the Forecasting Models of Slope Stability under Data Mining
Publication: Earth and Space 2010: Engineering, Science, Construction, and Operations in Challenging Environments
Abstract
In this paper, the artificial neural network (ANN) and support vector machine (SVM) methods which are commonly used in data mining are introduced, both the advantages and disadvantages of between them are detailedly discussed in engineering application. Two forecasting models based on ANN and SVM are derived from the main factors for slope stability, in which the nonlinear relations between slope stability and main influencing factors are obtained from the finite empirical data. Compared the results with maximum likelihood estimation in details, it is concluded that SVM forecasting model has more advantages to slope stability evaluation over ANN model under the condition of limited data.
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© 2010 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering of Hohai University, P.O. Box 210098, Nanjing, PR China. E-mail: [email protected]
College of Water Conservancy and Hydropower Engineering, Hohai University, P.O. Box 210098, Nanjing, PR China. E-mail: [email protected]
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.