A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping

CATENA - Tập 179 - Trang 184-196 - 2019
Dieu Tien Bui1, Phuong-Thao Thi Ngo2, Tien Dat Pham3, Abolfazl Jaafari4, Nguyen Quang Minh5, Pham Viet Hoa6, Pijush Samui7,8
1Institute of Research and Development, Duy Tan University, Da Nang, 550000, Viet Nam
2Faculty of Information Technology, Hanoi University of Mining and Geology, No. 18 Pho Vien, Duc Thang, Bac Tu Liem, Hanoi, Viet Nam
3Geoinformatics Unit, The RIKEN Center for Advanced Intelligence Project (AIP), Mitsui Building, 15th floor, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan
4Research Institute of Forests and Rangelands, Agricultural Research Education and Extension Organization (AREEO), Tehran, Iran
5Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, No. 18 Pho Vien, Duc Thang, Bac Tu Liem, Hanoi 10000, Viet Nam
6Ho Chi Minh City Institute of Resources Geography, Vietnam Academy of Science and Technology, Mac Dinh Chi 1, Ben Nghe, 1 District, Ho Chi Minh City, Viet Nam
7Geographic Information Science Research Group, Ton Duc Thang University, Ho Chi Minh City, Viet Nam
8Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Viet Nam

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