Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment-Reference-Cited by-同舟云学术

Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment

Published:2020-05 Issue: Volume:188 Page:104426
ISSN:0341-8162
Container-title:CATENA
language:en
Short-container-title:CATENA

Author:

Bui Dieu Tien^ORCID,Tsangaratos Paraskevas^ORCID,Nguyen Viet-Tien,Liem Ngo Van,Trinh Phan Trong^ORCID

Funder

Central Highland Program No.3, Vietnam Academy of Science and Technology, Vietnam

VAST

Publisher

Elsevier BV

Subject

Earth-Surface Processes

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4. Geochemistry of late miocene-pleistocene basalts in the Phu Quy island area (East Vietnam Sea): Implication for mantle source feature and melt generation;Anh;Vietnam J. Earth Sci.,2017

5. Support vector machines for landslide susceptibility mapping: the staffora River Basin case study;Ballabio;Italy. Math. Geosci.,2012

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