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

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, Shahabi, Himan, Shirzadi, Ataollah, Chapi, Kamran, Nhat, Duc Hoang, Binh, Thai Pham, Quang, Thanh Bui, Chuyen, Trung Tran, Panahi, Mahdi, Ahmad, Baharin, Saro, Lee
Format: Article
Language:English
Published: MDPI AG 2018
Subjects:
G Geography (General)
GE Environmental Sciences
Online Access:http://eprints.utm.my/86067/1/BaharinAhmad2018_ANovelIntegratedApproachofRelevanceVector.pdf

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http://eprints.utm.my/86067/1/BaharinAhmad2018_ANovelIntegratedApproachofRelevanceVector.pdf

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