A Novel Intelligence Approach of a Sequential Minimal Optimization-Based Support Vector Machine for Landslide Susceptibility Mapping

A Novel Intelligence Approach of a Sequential Minimal Optimization-Based Support Vector Machine for Landslide Susceptibility Mapping

<b> </b>The main objective of this study is to propose a novel hybrid model of a sequential minimal optimization and support vector machine (SMOSVM) for accurate landslide susceptibility mapping. For this task, one of the landslide prone areas of Vietnam, the Mu Cang Chai District locate...

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Bibliographic Details
Main Authors: Binh Thai Pham, Indra Prakash, Wei Chen, Hai-Bang Ly, Lanh Si Ho, Ebrahim Omidvar, Van Phong Tran, Dieu Tien Bui
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Sustainability
Subjects:
landslides
gis
sequential minimal optimization
support vector machines
viet nam
Online Access:https://www.mdpi.com/2071-1050/11/22/6323

Internet

https://www.mdpi.com/2071-1050/11/22/6323

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