A comparative study of different machine learning methods for landslide susceptibility assessment: a case study of Uttarakhand area (India)

A comparative study of different machine learning methods for landslide susceptibility assessment: a case study of Uttarakhand area (India)

Landslide susceptibility assessment of Uttarakhand area of India has been done by applying five machine learning methods namely Support Vector Machines (SVM), Logistic Regression (LR), Fisher's Linear Discriminant Analysis (FLDA), Bayesian Network (BN), and Naïve Bayes (NB). Performance of thes...

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Bibliographic Details
Main Authors: Pham, Binh Thai, Pradhan, Biswajeet, Bui, Dieu Tien, Prakash, Indra, Dholakia, M. B.
Format: Article
Language:English
Published: Elsevier 2016
Online Access:http://psasir.upm.edu.my/id/eprint/54823/
http://psasir.upm.edu.my/id/eprint/54823/1/A%20comparative%20study%20of%20different%20machine%20learning%20methods%20for%20landslide%20susceptibility%20assessment%20a%20case%20study%20of%20Uttarakhand%20area%20%28India%29.pdf

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