Potential of hybrid evolutionary approaches for assessment of geo-hazard landslide susceptibility mapping

Potential of hybrid evolutionary approaches for assessment of geo-hazard landslide susceptibility mapping

As a prevalent disaster, landslides cause severe loss of property and human life worldwide. The specific objective of this study is to evaluate the capability of artificial neural network (ANN) synthesized with artificial bee colony (ABC) and particle swarm optimization (PSO) evolutionary algorithms...

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Bibliographic Details
Main Authors: Hoang Nguyen, Mohammad Mehrabi, Bahareh Kalantar, Hossein Moayedi, Mu’azu Mohammed Abdullahi
Format: Article
Language:English
Published: Taylor & Francis Group 2019-01-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
geo-hazard zonation
landslide susceptibility mapping
geographic information system
artificial neural network
hybrid evolutionary algorithms
Online Access:http://dx.doi.org/10.1080/19475705.2019.1607782

Internet

http://dx.doi.org/10.1080/19475705.2019.1607782

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