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Assessment of susceptibility to rainfall-induced landslides using improved self-organizing linear output map, support vector machine, and logistic regression

Assessment of susceptibility to rainfall-induced landslides using improved self-organizing linear... http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Engineering Geology CrossRef

Assessment of susceptibility to rainfall-induced landslides using improved self-organizing linear output map, support vector machine, and logistic regression

Lin, Gwo-Fong; Chang, Ming-Jui; Huang, Ya-Chiao; Ho, Jui-Yi
Engineering Geology , Volume 224: 62-74 – Jun 1, 2017
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Assessment of susceptibility to rainfall-induced landslides using improved self-organizing linear output map, support vector machine, and logistic regression

Lin, Gwo-Fong; Chang, Ming-Jui; Huang, Ya-Chiao; Ho, Jui-Yi
Engineering Geology , Volume 224: 62-74 – Jun 1, 2017

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Publisher
CrossRef
Copyright
© 2017 Elsevier B.V. All rights reserved.
ISSN
0013-7952
DOI
10.1016/j.enggeo.2017.05.009
Publisher site
See Article on Publisher Site

Abstract

Journal

Engineering Geology – CrossRef

Published: Jun 1, 2017

References

  • A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at İzmir, Turkey
    Akgun
  • Determination of importance for comprehensive topographic factors on landslide hazard mapping using artificial neural network
    Alkhasawneh