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 (Author), Shahabi, Himan (Author), Shirzadi, Ataollah (Author), Chapi, Kamran (Author), Nhat, Duc Hoang (Author), Binh, Thai Pham (Author), Quang, Thanh Bui (Author), Chuyen, Trung Tran (Author), Panahi, Mahdi (Author), Ahmad, Baharin (Author), Saro, Lee (Author)
Format: Article
Language:English
Published: MDPI AG, 2018-10-01.
Subjects:
G Geography (General)
GE Environmental Sciences
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