文献
J-GLOBAL ID:201902262083387492
整理番号:19A0493668
差分進化により改善されたWT-VMDに基づく分解法と逆伝搬神経回路網を用いた日前PM2.5濃度予測【JST・京大機械翻訳】
Day-Ahead PM2.5 Concentration Forecasting Using WT-VMD Based Decomposition Method and Back Propagation Neural Network Improved by Differential Evolution
著者 (7件):
Wang Deyun
(School of Economics and Management, China University of Geosciences, Wuhan 430074, China)
,
Wang Deyun
(Mineral Resource Strategy and Policy Research Center, China University of Geosciences, Wuhan 430074, China)
,
Liu Yanling
(School of Economics and Management, China University of Geosciences, Wuhan 430074, China)
,
Luo Hongyuan
(School of Economics and Management, China University of Geosciences, Wuhan 430074, China)
,
Yue Chenqiang
(School of Economics and Management, China University of Geosciences, Wuhan 430074, China)
,
Cheng Sheng
(School of Economics and Management, China University of Geosciences, Wuhan 430074, China)
,
Cheng Sheng
(Mineral Resource Strategy and Policy Research Center, China University of Geosciences, Wuhan 430074, China)
資料名:
International Journal of Environmental Research and Public Health (Web)
(International Journal of Environmental Research and Public Health (Web))
巻:
14
号:
7
ページ:
764
発行年:
2017年
JST資料番号:
U7208A
ISSN:
1660-4601
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)