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

Revhaug, Inge; Pradhan, Biswajeet; Klempe, Harald; Tuan, Tran Anh; Tien Bui, Dieu

doi:10.1007/s10346-015-0557-6

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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

Author(s): Dieu Tien Bui , Tran Anh Tuan , Harald Klempe , Biswajeet Pradhan , Inge Revhaug

Publication date (Electronic): January 27 2015

Journal: Landslides

Publisher: Springer Nature

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A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

Joaquín Derrac, Salvador García-García, Daniel Molina … (2011)

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The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan

Hiromitsu Yamagishi, Lulseged Ayalew (2005)

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A physically based model for the topographic control on shallow landsliding

William E Dietrich, David Montgomery (1994)

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Author and article information

Journal

Title: Landslides

Abbreviated Title: Landslides

Publisher: Springer Nature

ISSN (Print): 1612-510X

ISSN (Electronic): 1612-5118

Publication date Created: April 2016

Publication date (Electronic): January 27 2015

Publication date (Print): April 2016

Volume: 13

Issue: 2

Pages: 361-378

Article

DOI: 10.1007/s10346-015-0557-6

SO-VID: 42a0d9d5-ea31-4585-ae63-df4f3e0dacc7

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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

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Most cited references 65

A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan

A physically based model for the topographic control on shallow landsliding

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