Determination and application of the weights for landslide susceptibility mapping using an artificial neural network

By Saro Lee, J. Ryu, Joong-Sun Won, Hyuck-Jin Park. 2004

547 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Management, Monitoring, Policy and Law, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/220c6527c36046b311104c79f0b8b248b0480223

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Citations in the corpus

Artificial Neural Network (ANN) and Regression Tree (CART) applications for the indirect estimation of unsaturated soil shear strength parameters (2014, background): “The network connection strengths are adjusted in the training process, which can be executed through a number of learning algorithms based on back propagation learning (Ripley, 1996; Haykin, 1998; Zhou, 1999; Lee et al., 2004; Gómez and Kavzoglu, 2005; Yesilnacar and Topal, 2005).”
Predictive Abilities of Bayesian Regularization and Levenberg–Marquardt Algorithms in Artificial Neural Networks: A Comparative Empirical Study on Social Data (2016, methodology): “The connection weight matrix of the neural network can be used to assess the relative importance of the various input neurons on the output [28,29].”
An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm (2012, background): “, 2008a; Nefeslioglu and Gokceoglu, 2011), soft computing (e.g., Ercanoglu and Gokceoglu, 2002, 2004; Arora et al., 2004; Lee et al., 2004; Ercanoglu, 2005; Lui et al., 2006; Kanungo et al., 2006; Melchiorre et al., 2008; Nefeslioglu et al., 2008b, 2010; Pradhan et al., 2009, 2010; Caniani et al., 2”
Use of geospatial data and fuzzy algebraic operators to landslide-hazard mapping (2009, unknown): “…models (Akgun et al. 2007; Dahal et al. 2007; Clerici et al. 2006; Cevik and Topal 2003; Rowbotham and Dudycha 1998; Jibson et al. 2000; Luzi et al. 2000; Parise and Jibson 2000; Baeza and Corominas 2001; Clerici et al. 2002; Donati and Turrini 2002; Zhou et al. 2002; Lee et al. 2004b).”
GIS-based landslide susceptibility mapping using analytical hierarchy process (AHP) and certainty factor (CF) models for the Baozhong region of Baoji City, China (2015, methodology): “(2010), Pourghasemi et al. (2012a, 2013b) ANN ANNs are generic nonlinear function approximation algorithms that have been widely applied for problems like pattern recognition and classification Pradhan and Buchroithner (2010), Pradhan and Lee (2009, 2010a, b), Pradhan and Pirasteh (2010), Pouydal et”
Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree (2019, background): “Plan curvature In the aspect of landslide susceptibility, plan curvature was also always used as a conditioning factor by many researchers (Lee et al. 2004; Conforti et al. 2014).”