文献
J-GLOBAL ID:202202264677583370
整理番号:22A0566805
基準数に基づく多重回帰と人工ニューラルネットワーク法を用いた乾燥剤ホイールの空気出口状態の予測モデル【JST・京大機械翻訳】
Prediction models of air outlet states of desiccant wheels using multiple regression and artificial neural network methods based on criterion numbers
著者 (4件):
Chen Xianzhong
(School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing 100083, China)
,
Tu Rang
(School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing 100083, China)
,
Li Ming
(School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing 100083, China)
,
Yang Xu
(School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China)
資料名:
Applied Thermal Engineering
(Applied Thermal Engineering)
巻:
204
ページ:
Null
発行年:
2022年
JST資料番号:
E0667B
ISSN:
1359-4311
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)