Spatial mapping of landslide susceptibility in Jerash governorate of Jordan using genetic algorithm-based wrapper feature selection and bagging-based ensemble model

Spatial mapping of landslide susceptibility in Jerash governorate of Jordan using genetic algorithm-based wrapper feature selection and bagging-based ensemble model

This study employs five genetic algorithm (GA)-based machine learning (ML) models, namely the Decision Tree (DT), k-Nearest Neighbors (kNN), NaïveBayes (NB), Support Vector Machine (SVM), and Extreme Learning Machine (ELM), to build a novel ensemble algorithm that is founded on the Bagging method fo...

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Bibliographic Details
Main Authors: Abdel Rahman Al-Shabeeb, A’kif Al-Fugara, Khaled Mohamed Khedher, Ali Nouh Mabdeh, Rida Al-Adamat
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
Ensemble models
hazard mapping
landslide susceptibility mapping
machine learning
Online Access:https://www.tandfonline.com/doi/10.1080/19475705.2022.2112096

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