文献
J-GLOBAL ID:201802272917293325
整理番号:18A1345038
GISを用いた降雨によって誘発された浅い地滑りの空間予測のためのインスタンスに基づく学習分類器と回転森林アンサンブルに基づく新しいハイブリッド手法【JST・京大機械翻訳】
A Novel Hybrid Approach Based on Instance Based Learning Classifier and Rotation Forest Ensemble for Spatial Prediction of Rainfall-Induced Shallow Landslides using GIS
著者 (6件):
Nguyen Quang-Khanh
(Faculty of Information Technology, Hanoi University of Mining and Geology, Duc Thang, Bac Tu Liem, Hanoi 100000, Vietnam)
,
Bui Dieu Tien
(Geographic Information System Group, Department of Business and IT, University College of Southeast Norway, Gullbringvegen 36, Bo i Telemark N-3800, Norway)
,
Hoang Nhat-Duc
(Faculty of Civil Engineering, Institute of Research and Development, Duy Tan University, P809-K7/25 Quang Trung, Danang 556361, Vietnam)
,
Trinh Phan Trong
(Institute of Geological Sciences, Vietnam Academy of Sciences and Technology (VASC), 84 Chua Lang Street, Dong da, Hanoi 100000, Vietnam)
,
Nguyen Viet-Ha
(Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Duc Thang, Bac Tu Liem, Hanoi 100000, Vietnam)
,
Yilmaz Isik
(Department of Geological Engineering, Faculty of Engineering, Cumhuriyet University, Sivas 58140, Turkey)
資料名:
Sustainability (Web)
(Sustainability (Web))
巻:
9
号:
5
ページ:
813
発行年:
2017年
JST資料番号:
U7281A
ISSN:
2071-1050
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)