文献
J-GLOBAL ID:202102227728632725
整理番号:21A3306200
重油燃焼ボイラ燃焼の排気エミッション予測のためのアンサンブル深層学習モデル【JST・京大機械翻訳】
An ensemble deep learning model for exhaust emissions prediction of heavy oil-fired boiler combustion
著者 (6件):
Han Zhezhe
(Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China)
,
Li Jian
(Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China)
,
Hossain Md. Moinul
(School of Engineering, University of Kent, Canterbury, Kent CT2 7NT, UK)
,
Qi Qi
(Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China)
,
Zhang Biao
(Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China)
,
Xu Chuanlong
(Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China)
資料名:
Fuel
(Fuel)
巻:
308
ページ:
Null
発行年:
2022年
JST資料番号:
C0023A
ISSN:
0016-2361
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)