Landslide susceptibility mapping based on self-organizing-map network and extreme learning machine-Reference-Cited by-同舟云学术

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Landslide susceptibility mapping based on self-organizing-map network and extreme learning machine

Published:2017-06 Issue: Volume:223 Page:11-22
ISSN:0013-7952
Container-title:Engineering Geology
language:en
Short-container-title:Engineering Geology

Author:

Huang Faming,Yin Kunlong,Huang Jinsong,Gui Lei,Wang Peng

Funder

Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Geology,Geotechnical Engineering and Engineering Geology

Reference39 articles.

1. Autologistic modelling of susceptibility to landsliding in the Central Apennines, Italy;Atkinson;Geomorphology,2011

2. The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan;Ayalew;Geomorphology,2005

3. GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China;Bai;Geomorphology,2010

4. Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): a comparative assessment of the efficacy of evidential belief functions and fuzzy logic models;Bui;Catena,2012

5. Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS;Choi;Eng. Geol.,2012

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