Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree

Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree

Preparation of landslide susceptibility maps is considered as the first important step in landslide risk assessments, but these maps are accepted as an end product that can be used for land use planning. The main objective of this study is to explore some new state-of-the-art sophisticated machine l...

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Bibliographic Details
Main Authors: Bui, Dieu Tien, Tran, Anh Tuan, Klempe, Harald, Pradhan, Biswajeet, Revhaug, Inge
Format: Article
Language:English
Published: Springer 2016
Online Access:http://psasir.upm.edu.my/id/eprint/53858/
http://psasir.upm.edu.my/id/eprint/53858/1/Spatial%20prediction%20models%20for%20shallow%20landslide%20hazards.pdf

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