文献
J-GLOBAL ID:202202259009620330
整理番号:22A0805221
直接噴射火花点火エンジンの燃焼相を予測するための機械学習応用【JST・京大機械翻訳】
Machine Learning Application to Predict Combustion Phase of a Direct Injection Spark Ignition Engine
著者 (7件):
Asakawa Rio
(Graduate School of Creative Science and Engineering, Waseda University, Tokyo, Japan)
,
Yokota Keisuke
(Graduate School of Creative Science and Engineering, Waseda University, Tokyo, Japan)
,
Tanabe Iku
(Graduate School of Creative Science and Engineering, Waseda University, Tokyo, Japan)
,
Yamaguchi Kyohei
(Faculty of Science and Engineering, Waseda University, Tokyo, Japan)
,
Sok Ratnak
(Research Organization for Next-Generation Vehicles, Waseda University, Tokyo, Japan)
,
Ishii Hiroyuki
(Faculty of Science and Engineering, Waseda University, Tokyo, Japan)
,
Kusaka Jin
(Faculty of Science and Engineering, Waseda University, Tokyo, Japan)
資料名:
International Journal of Automotive Technology
(International Journal of Automotive Technology)
巻:
23
号:
1
ページ:
265-272
発行年:
2022年
JST資料番号:
W1274A
ISSN:
1229-9138
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)