Comparative analysis of gradient boosting algorithms for landslide susceptibility mapping-Reference-Cited by-同舟云学术

Comparative analysis of gradient boosting algorithms for landslide susceptibility mapping

Published:2020-10-16 Issue: Volume: Page:1-25
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Sahin Emrehan Kutlug¹^ORCID

Affiliation:

1. Department of Civil Engineering, Bolu Abant Izzet Baysal University, Bolu, Turkey

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2020.1831623

Reference93 articles.

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2. An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm

3. Alsahaf A, Azzopardi G, Ducro B, Veerkamp RF, Petkov N. 2018. Predicting slaughter weight in pigs with regression tree ensembles. In: Petkov, N., Strisciuglio, N., Travieso-Gonzalez, C.M. (Eds.), Applications of Intelligent Systems - Proceedings of the 1st International APPIS Conference 2018, APPIS 2018. IOS Press, p. 1–9.

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

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