文献
J-GLOBAL ID:202202233297247012
整理番号:22A0456001
強化学習法に基づくパイプ分離ツールの速度制御システムのための省エネルギー【JST・京大機械翻訳】
Energy-Saving for a Velocity Control System of a Pipe Isolation Tool Based on a Reinforcement Learning Method
著者 (4件):
Wu Tingting
(College of Mechanical and Transportation Engineering, China University of Petroleum, Beijing, China)
,
Zhao Hong
(College of Mechanical and Transportation Engineering, China University of Petroleum, Beijing, China)
,
Gao Boxuan
(College of Mechanical and Transportation Engineering, China University of Petroleum, Beijing, China)
,
Meng Fanbo
(College of Mechanical and Transportation Engineering, China University of Petroleum, Beijing, China)
資料名:
International Journal of Precision Engineering and Manufacturing-Green Technology
(International Journal of Precision Engineering and Manufacturing-Green Technology)
巻:
9
号:
1
ページ:
225-240
発行年:
2022年
JST資料番号:
W4486A
ISSN:
2288-6206
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)