2003
DOI: 10.1007/s00254-003-0825-y
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Use of an artificial neural network for analysis of the susceptibility to landslides at Boun, Korea

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Cited by 164 publications
(55 citation statements)
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“…ANNs have been applied successfully to the assessment of landslide susceptibility. Lee et al (2003a) determined landslide susceptibility by using ANN models and compared neural models with probabilistic and statistical ones. Lee et al (2004) developed a method to integrate ANNs to calculate the Landslide Susceptibility Index (LSI).…”
Section: Brief State Of the Artmentioning
confidence: 99%
“…ANNs have been applied successfully to the assessment of landslide susceptibility. Lee et al (2003a) determined landslide susceptibility by using ANN models and compared neural models with probabilistic and statistical ones. Lee et al (2004) developed a method to integrate ANNs to calculate the Landslide Susceptibility Index (LSI).…”
Section: Brief State Of the Artmentioning
confidence: 99%
“…Lee et al, 2001Lee et al, , 2003Ermini et al, 2005;Gomez and Kavzoglu, 2005;Yesilnacar and Topal, 2005). With this study, it is expected to satisfy the lack of landslide inventory in some part of West Black Sea region, at least for the study area, and to predict susceptible areas to landslides with an automated landslide database and frequency based ANN model.…”
Section: Introductionmentioning
confidence: 96%
“…A large part of the quantitative methods to produce landslide susceptibility maps relies on regression or classification approaches (Aleotti and Chowdhury, 1999;Fell et al, 2008). The techniques most widely used are discriminant analysis (Carrara, 1983;Chung and Fabbri, 1995;Baeza and Corominas, 1996), logistic regression (Hosmer and Lemeshow, 2000;Lee, 2005;Manzo et al, 2013), artificial neural networks (ANN) (Bianchi and Catani, 2002;Lee et al, 2003Lee et al, , 2004Ermini et al, 2005;Yilmaz, 2009;Lu et al, 2012), linear regression (Atkinson and Massari, 1998), fuzzy membership (Kanungo et al, 2006), conditional probability or Bayesian methods (Yilmaz, 2010;Catani et al, 2013).…”
Section: Introductionmentioning
confidence: 99%