文献
J-GLOBAL ID:202102224992207448
整理番号:21A2647188
ニューラルネットワークとグレード分類を用いたNakdong川の水質管理のための高優先度支流の同定【JST・京大機械翻訳】
Identification of High-Priority Tributaries for Water Quality Management in Nakdong River Using Neural Networks and Grade Classification
著者 (6件):
Jung Kang-Young
(Yeongsan River Environment Research Center, National Institute of Environmental Research, Gwangju 61011, Korea)
,
Cho Sohyun
(Yeongsan River Environment Research Center, National Institute of Environmental Research, Gwangju 61011, Korea)
,
Hwang Seong-Yun
(Yeongsan River Environment Research Center, National Institute of Environmental Research, Gwangju 61011, Korea)
,
Lee Yeongjae
(Yeongsan River Environment Research Center, National Institute of Environmental Research, Gwangju 61011, Korea)
,
Kim Kyunghyun
(Watershed Pollution Load Management Research Division, National Institute of Environmental Research, Incheon 22689, Korea)
,
Na Eun Hye
(Yeongsan River Environment Research Center, National Institute of Environmental Research, Gwangju 61011, Korea)
資料名:
Sustainability (Web)
(Sustainability (Web))
巻:
12
号:
21
ページ:
9149
発行年:
2020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)