Spatial prediction of rainfall-induced landslides for the Lao Cai area (Vietnam) using a hybrid intelligent approach of least squares support vector machines inference model and artificial bee colony optimization
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22,840 citations
"Spatial prediction of rainfall-indu..." refers methods in this paper
...…support vector machines LSSVM is a machine learning technique used to construct classifiers on the basis of the concept of structural risk minimization which is less prone to overfitting than the empirical risk minimization employed by artificial neural network learning approach (Bishop 2006)....
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10,141 citations
8,811 citations
"Spatial prediction of rainfall-indu..." refers background in this paper
...Despite of many advantages, support vector machines feature some drawbacks in handling complex problems with large datasets due to the directly proportional of the matrix size of the quadratic programming to the number of training samples (Suykens and Vandewalle 1999)....
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...programming to the number of training samples (Suykens and Vandewalle 1999)....
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6,377 citations
"Spatial prediction of rainfall-indu..." refers methods in this paper
...In this study, artificial bee colony (Karaboga and Basturk 2007) that is one of the most recently introduced metaheuristic optimization techniques for determining the tuning parameters of LSSVM is used....
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4,306 citations
"Spatial prediction of rainfall-indu..." refers background or methods in this paper
...Detailed explanations of FAST can be found in Saltelli et al. (2008)....
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...In this study, Fourier amplitude sensitivity test (FAST) (Cukier et al. 1973; Saltelli et al. (2008); Pianosi et al. (2015); Sarrazin et al. (2016a)), which is considered to be one of the most widely used sensitivity analysis techniques, was used....
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