文献
J-GLOBAL ID:201702249604426122
整理番号:17A1961736
適応ニューロファジィ推論システムとメタヒューリスティックアルゴリズムの新しい集団を用いた洪水脆弱性マッピング【Powered by NICT】
Flood susceptibility mapping using novel ensembles of adaptive neuro fuzzy inference system and metaheuristic algorithms
著者 (5件):
Razavi Termeh Seyed Vahid
(Faculty of Geodesy & Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran)
,
Kornejady Aiding
(Department of Watershed Sciences and Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran)
,
Pourghasemi Hamid Reza
(Department of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University, Shiraz, Iran)
,
Keesstra Saskia
(Soil Physics and Land Management Group, Wageningen University, Droevendaalsesteeg 4, 6708PB Wageningen, Netherlands)
,
Keesstra Saskia
(Civil, Surveying and Environmental Engineering, The University of Newcastle, Australia)
資料名:
Science of the Total Environment
(Science of the Total Environment)
巻:
615
ページ:
438-451
発行年:
2018年
JST資料番号:
C0501B
ISSN:
0048-9697
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)