文献
J-GLOBAL ID:202202210649420833
整理番号:22A0482958
ハイブリッド機械学習技法を適用した製油所における配電制御システムの最適化【JST・京大機械翻訳】
Optimization of Distribution Control System in Oil Refinery by Applying Hybrid Machine Learning Techniques
著者 (5件):
Hussein Humod Al Jlibawi Ali
(Department of Electrical and Electronic Engineering, Advanced Lightning, Power and Energy Research (ALPER), Faculty of Engineering, Universiti Putra Malaysia (UPM), Serdang, Malaysia)
,
Othman Mohammad Lutfi
(Department of Electrical and Electronic Engineering, Advanced Lightning, Power and Energy Research (ALPER), Faculty of Engineering, Universiti Putra Malaysia (UPM), Serdang, Malaysia)
,
Ishak Aris
(Department of Electrical and Electronic Engineering, Advanced Lightning, Power and Energy Research (ALPER), Faculty of Engineering, Universiti Putra Malaysia (UPM), Serdang, Malaysia)
,
Moh Noor Bahari S.
(Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia, Selangor, Malaysia)
,
Sajitt Al Huseiny M. Sattar
(Faculty of Engineering, University of Wassit, Kut, Iraq)
資料名:
IEEE Access
(IEEE Access)
巻:
10
ページ:
3890-3903
発行年:
2022年
JST資料番号:
W2422A
ISSN:
2169-3536
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)