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Utilization relevance vector machine for slope reliability analysis
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DOI：10.1016/j.asoc.2011.03.009.png)
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Abstract
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This paper examines the potential of relevance vector machine (RVM) for slope reliability by using first order second moment method (FOSM). The FOSM demands the values and partial derivatives of the performance function with respect to the design random variables. Such calculations could be time-consuming or cumbersome when the performance functions are implicit. The analysis of slope by limit equilibrium method gives implicit performance functions. Here, RVM has been used to predict implicit performance functions. RVM rely on the Bayesian concept and utilize an inductive modelling procedure that allows incorporation of prior knowledge in the estimation process. In this paper, an example is given regarding how the proposed RVM-based FOSM analysis can be carried out. This study shows that the proposed RVM-based FOSM is viable alternative for slope reliability analysis. (C) 2011 Elsevier B.V. All rights reserved.
Keywords:
Relevance vector machine
Slope reliability
First order second moment method
Implicit performance function
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