Neural Networks for Slope Movement Prediction
Citations
236 citations
Cites background from "Neural Networks for Slope Movement ..."
...Neural networks are non-linear statistical data modeling tools, which are usually used to model complex relationships between multi-variables (inputs) and responses (outputs) (Mayoraz and Vulliet 2002; Ran et al. 2010; Pradhan and Buchroithner 2010; Biswajeet and Saro 2010)....
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167 citations
Cites background from "Neural Networks for Slope Movement ..."
...…(Benardos and Kaliampakos 2004; Lee and Sterling 1992; Moon et al. 1995; Neaupane and Achet 2004; Shi et al. 1998; Shi 2000; Yoo and Kim 2007) and slope stability (Ferentinou and Sakellariou 2007; Goh and Kulhawy 2003; Mayoraz and Vulliet 2002; Neaupane and Achet 2004; Ni et al. 1996; Zhao 2008)....
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120 citations
114 citations
Cites background from "Neural Networks for Slope Movement ..."
...(1996) and Mayoraz and Vulliet (2002). The same authors predicted the velocity changes in a sliding soil mass based on meteorological and physical data and different neural network configurations....
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...5 Sallèdes 3-day prediction (after Mayoraz and Vulliet 2002) Fig....
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...4 Verhulst inverse function (after Li et al. 1996) Mayoraz et al. (1996) and Mayoraz and Vulliet (2002)....
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114 citations
References
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"Neural Networks for Slope Movement ..." refers methods in this paper
...The Levenberg– Marquardt algorithm, [34, 35] often used for problems of nonlinear least squares, has also been adapted for the learning processes of perceptrons [35]....
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8,197 citations
"Neural Networks for Slope Movement ..." refers methods in this paper
...In the following, automates based on nonsupervised learning, such as the Kohonen cards [28], will not be presented, but we will concentrate on ANNs with supervised learning....
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7,798 citations
"Neural Networks for Slope Movement ..." refers methods in this paper
...Theoretical bases The perceptron is the type of neural network most commonly used for tasks of classification and function approximation [24]....
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