Spatial prediction of shallow landslide using Bat algorithm optimized machine learning approach: A case study in Lang Son Province, Vietnam-Reference-Cited by-同舟云学术

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Spatial prediction of shallow landslide using Bat algorithm optimized machine learning approach: A case study in Lang Son Province, Vietnam

Published:2019-10 Issue: Volume:42 Page:100978
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Tien Bui Dieu,Hoang Nhat-Duc,Nguyen Hieu,Tran Xuan-Linh

Funder

Geographic Information Science Research group, Ton Duc Thang University, Ho Chi Minh city, Vietnam

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems

Reference93 articles.

1. Comparison of machine-learning techniques for landslide susceptibility mapping using two-level random sampling (2LRS) in Alakir catchment area Antalya;Ada;Turkey Nat. Hazards,2018

2. Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia;Aditian;Geomorphology,2018

3. Foundations of Linear and Generalized Linear Models. Wiley Series in Probability and Statistics;Agresti,2015

4. Modeling and testing landslide hazard using decision tree;Alkhasawneh;J. Appl. Math.,2014

5. Statistics Notes: Diagnostic tests 2: predictive values;Altman;BMJ,1994

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