Combining Evolutionary Algorithms and Machine Learning Models in Landslide Susceptibility Assessments

Combining Evolutionary Algorithms and Machine Learning Models in Landslide Susceptibility Assessments

The main objective of the present study is to introduce a novel predictive model that combines evolutionary algorithms and machine learning (ML) models, so as to construct a landslide susceptibility map. Genetic algorithms (GA) are used as a feature selection method, whereas the particle swarm optim...

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Bibliographic Details
Main Authors: Wei Chen, Yunzhi Chen, Paraskevas Tsangaratos, Ioanna Ilia, Xiaojing Wang
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Remote Sensing
Subjects:
landslide susceptibility
feature selection
optimizing structural parameters
evolutionary algorithms
genetic algorithms
particle swarm optimization
Online Access:https://www.mdpi.com/2072-4292/12/23/3854

Internet

https://www.mdpi.com/2072-4292/12/23/3854

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