Gokceoglu, C. (2012) Discussion on “Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS” by Choi et al. (2012), Engineering Geology, 124, 12–23. Engineering Geology, 129. 104-105 doi:10.1016/j.enggeo.2012.01.008

See Also

These are possibly similar items as determined by title/reference text matching only.

	Choi, Jaewon, Oh, Hyun-Joo, Lee, Hong-Jin, Lee, Changwook, Lee, Saro (2012) Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS. Engineering Geology, 124. 12-23 doi:10.1016/j.enggeo.2011.09.011
	Nefeslioglu, H.A., Gokceoglu, C., Sonmez, H. (2008) An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps. Engineering Geology, 97 (3). 171-191 doi:10.1016/j.enggeo.2008.01.004
	Aditian, Aril, Kubota, Tetsuya, Shinohara, Yoshinori (2018) Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia. Geomorphology, 318. 101-111 doi:10.1016/j.geomorph.2018.06.006
	Polykretis, Christos, Chalkias, Christos (2018) Comparison and evaluation of landslide susceptibility maps obtained from weight of evidence, logistic regression, and artificial neural network models. Natural Hazards, 93. 249-274 doi:10.1007/s11069-018-3299-7
	Lombardo, Luigi, Mai, P. Martin (2018) Presenting logistic regression-based landslide susceptibility results. Engineering Geology, 244. 14-24 doi:10.1016/j.enggeo.2018.07.019
	Pradhan, Biswajeet, Lee, Saro (2010) Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models. Environmental Earth Sciences, 60 (5). 1037-1054 doi:10.1007/s12665-009-0245-8
	Park, Soyoung, Choi, Chuluong, Kim, Byungwoo, Kim, Jinsoo (2013) Landslide susceptibility mapping using frequency ratio, analytic hierarchy process, logistic regression, and artificial neural network methods at the Inje area, Korea. Environmental Earth Sciences, 68 (5). 1443-1464 doi:10.1007/s12665-012-1842-5
	Nourani, Vahid, Pradhan, Biswajeet, Ghaffari, Hamid, Sharifi, Seyed Saber (2014) Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency ratio, logistic regression, and artificial neural network models. Natural Hazards, 71. 523-547 doi:10.1007/s11069-013-0932-3
	Alavi, Amir Hossein, Gandomi, Amir Hossein, Mousavi, Seyyed Mohammad (2012) Discussion on “Prediction of shear strength parameters of soils using artificial neural networks and multivariate regression methods”. Engineering Geology, 137. 107-108 doi:10.1016/j.enggeo.2012.03.011
	Wang, Liang-Jie, Guo, Min, Sawada, Kazuhide, Lin, Jie, Zhang, Jinchi (2016) A comparative study of landslide susceptibility maps using logistic regression, frequency ratio, decision tree, weights of evidence and artificial neural network. Geosciences Journal, 20. 117-136 doi:10.1007/s12303-015-0026-1
	Sonmez, H., Gokceoglu, C. (2008) Discussion on the paper by H. Gullu and E. Ercelebi “A neural network approach for attenuation relationships: An application using strong ground motion data from Turkey (in press)”. Engineering Geology, 97 (1). 91-93 doi:10.1016/j.enggeo.2007.09.003