A Support Vector Machine for Landslide Susceptibility Mapping in Gangwon Province, Korea
Author:
Publisher
MDPI AG
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development
Link
http://www.mdpi.com/2071-1050/9/1/48/pdf
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1. Disasters, Natural and Technologicalhttp://www.ilocis.org/documents/chpt39e.htm
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4. Determination of importance for comprehensive topographic factors on landslide hazard mapping using artificial neural network
5. Landslide susceptibility analysis based on ArcGIS and Artificial Neural Network for a large catchment in Three Gorges region, China
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