Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea-Reference-Cited by-同舟云学术

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Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea

Published:2022-03 Issue: Volume:305 Page:114367
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Hakim Wahyu Luqmanul,Rezaie Fatemeh,Nur Arip Syaripudin,Panahi Mahdi,Khosravi Khabat,Lee Chang-Wook,Lee Saro^ORCID

Funder

Kementerian Pendidikan Malaysia

Ministry of Science, ICT and Future Planning

Korea Institute of Geoscience and Mineral Resources

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal,General Medicine,Environmental Engineering

Reference100 articles.

1. Imperialist competitive algorithm for solving systems of nonlinear equations;Abdollahi;Comput. Math. Appl.,2013

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. A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison;Althuwaynee;Int. J. Rem. Sens.,2016

4. Application of an evidential belief function model in landslide susceptibility mapping;Althuwaynee;Comput. Geosci.,2012

5. Decision tree based ensemble machine learning approaches for landslide susceptibility mapping;Arabameri;Geocarto Int.,2021

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