文献
J-GLOBAL ID:201702282398695303
整理番号:17A0372396
気象データに基づく人工ニューラルネットワークモデルを用いた日間全天日射量の推定に及ぼす粒子状物質汚染の影響の評価【Powered by NICT】
Evaluating the effect of particulate matter pollution on estimation of daily global solar radiation using artificial neural network modeling based on meteorological data
著者 (4件):
Vakili Masoud
(Department of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran)
,
Sabbagh-Yazdi Saeed Reza
(Department of Civil Engineering, K. N. Toosi University of Technology, Tehran, Iran)
,
Khosrojerdi Soheila
(Young Researchers and Elite Club, Central Tehran Branch, Islamic Azad University, Tehran, Iran)
,
Kalhor Koosha
(Department of Civil and Environmental Engineering, Northeastern University, Boston, MA, USA)
資料名:
Journal of Cleaner Production
(Journal of Cleaner Production)
巻:
141
ページ:
1275-1285
発行年:
2017年
JST資料番号:
W0750A
ISSN:
0959-6526
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)