Application of a novel hybrid machine learning algorithm in shallow landslide susceptibility mapping in a mountainous area
Landslides can be a major challenge in mountainous areas that are influenced by climate and landscape changes. In this study, we propose a hybrid machine learning model based on a rotation forest (RoF) meta classifier and a random forest (RF) decision tree classifier called RoFRF for landslide predi...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/104043/1/AnuarAhmad2022_ApplicationofaNovelHybridMachineLearning.pdf http://eprints.utm.my/104043/ http://dx.doi.org/10.3389/fenvs.2022.897254 |
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