A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides

A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides

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This research aims at proposing a new artificial intelligence approach (namely RVM-ICA) which is based on the Relevance Vector Machine (RVM) and the Imperialist Competitive Algorithm (ICA) optimization for landslide susceptibility modeling. A Geographic Information System (GIS) spatial database was...

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Bibliographic Details
Main Authors: Dieu Tien Bui, Himan Shahabi, Ataollah Shirzadi, Kamran Chapi, Nhat-Duc Hoang, Binh Thai Pham, Quang-Thanh Bui, Chuyen-Trung Tran, Mahdi Panahi, Baharin Bin Ahamd, Lee Saro
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Remote Sensing
Subjects:
hybrid intelligence
relevance vector machine
imperialist competitive algorithm
shallow landslide
GIS
Vietnam
Online Access:http://www.mdpi.com/2072-4292/10/10/1538

Internet

http://www.mdpi.com/2072-4292/10/10/1538

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