文献
J-GLOBAL ID:201802265420767600
整理番号:18A1261854
ハイブリッド学習法に基づく計算知能を用いた冷凍プラントのエクセルギー評価【JST・京大機械翻訳】
Exergy assessment of a refrigeration plant using computational intelligence based on hybrid learning methods
著者 (6件):
Belman-Flores J.M.
(Engineering Division, Campus Irapuato-Salamanca, University of Guanajuato. Salamanca-Valle de Santiago km 3.5+1.8, CP.36885, Mexico)
,
Barroso-Maldonado J.M.
(Engineering Division, Campus Irapuato-Salamanca, University of Guanajuato. Salamanca-Valle de Santiago km 3.5+1.8, CP.36885, Mexico)
,
Ledesma Sergio
(Engineering Division, Campus Irapuato-Salamanca, University of Guanajuato. Salamanca-Valle de Santiago km 3.5+1.8, CP.36885, Mexico)
,
Perez-Garcia V.
(Engineering Division, Campus Irapuato-Salamanca, University of Guanajuato. Salamanca-Valle de Santiago km 3.5+1.8, CP.36885, Mexico)
,
Gallegos-Munoz A.
(Engineering Division, Campus Irapuato-Salamanca, University of Guanajuato. Salamanca-Valle de Santiago km 3.5+1.8, CP.36885, Mexico)
,
Alfaro-Ayala J.A.
(Department of Chemical Engineering, University of Guanajuato, DCNE, Col. Noria Alta s/n, Guanajuato 36050, Mexico)
資料名:
International Journal of Refrigeration
(International Journal of Refrigeration)
巻:
88
ページ:
35-44
発行年:
2018年
JST資料番号:
H0157B
ISSN:
0140-7007
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)