Slope Stability during Earthquakes: A Neural Network Application

Rainfall-based criteria for assessing slump rate of mountainous highway slopes: A case study of slopes along Highway 18 in Alishan, Taiwan

“…Artificial neural network (ANN) has been used in evaluating geotechnical hazards such as landslides, slope failures and debris flows (Ni et al, 1995;Lee et al, 2004;Neaupane and Achet, 2004;Ermini et al, 2005;Gómez and Kavzoglu, 2005;Wang et al, 2005;Wu et al, 2005b;Chang and Chao, 2006;Kanungo et al, 2006;Lee and Evangelista, 2006;Chang, 2007a;Xue et al, 2007;Caniani et al, 2008;Lin et al, 2008;Melchiorre et al, 2008;Nefeslioglu et al, 2008;Ural and Tolon, 2008;Choi et al, 2010;Lin et al, 2009;Liu et al, 2009;Mondino et al, 2009;Yilmaz, 2009;Kawabata and Bandibas, 2009;Rossi et al, 2010). ANN is shown to be an effective method for prototyping an empirical model for assessing the failure probability of individual slopes (Lin et al, 2009).…”

Neural network-based model for assessing failure potential of highway slopes in the Alishan, Taiwan Area: Pre- and post-earthquake investigation

“…ANNs have been used to estimate complex cause-effect relationships in geotechnical engineering (e.g., Goh et al, 1995;Ni et al,1995;Juang and Elton 1997;Juang et al,1999a;Juang et al, 2000;Kung et al, 2007, to name just a few) and specifically in landslide and debris flow studies (Gómez and Kavzoglu 2005;Ermini et al, 2005;Chang and Chao, 2006;Kanungo et al, 2006;Lee and Evangelista 2006;Chang 2007;Xue et al, 2007;Caniani et al, 2008;Lin et al, 2008;Melchiorre et al, 2008;Nefeslioglu et al, 2008;Ural and Tolon 2008).…”