文献
J-GLOBAL ID:202202273648088290
整理番号:22A0770702
位相空間再構成とハイブリッドニューラルネットワークモデルの結合適用による太陽放射の推定【JST・京大機械翻訳】
Estimation of solar radiation by joint application of phase space reconstruction and a hybrid neural network model
著者 (5件):
Kashani Mahsa H.
(Department of Water Engineering, Water Management Research Center, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil, Iran)
,
Inyurt Samed
(Department of Geomatics Engineering, Faculty of Engineering and Architecture, Tokat Gaziosmanpasa University, Tokat, Turkey)
,
Golabi Mohammad Reza
(Faculty of Water Sciences Engineering, University of Shahid Chamran Ahvaz, Ahvaz, Iran)
,
AmirRahmani Mohammad
(Institute of the Environment, University of Tabriz, Tabriz, Iran)
,
Band Shahab S.
(Future Technology Research Center, College of Future, National Yunlin University of Science and Technology, Douliou, Yunlin, Taiwan, ROC)
資料名:
Theoretical and Applied Climatology
(Theoretical and Applied Climatology)
巻:
147
号:
3-4
ページ:
1725-1742
発行年:
2022年
JST資料番号:
A0518A
ISSN:
0177-798X
CODEN:
TACLEK
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)