文献
J-GLOBAL ID:202202264016282561
整理番号:22A0467011
データ解析法の最前線:因果性検出からデータ駆動実験設計まで【JST・京大機械翻訳】
Frontiers in data analysis methods: from causality detection to data driven experimental design
著者 (10件):
Murari A
(Consorzio RFX (CNR, ENEA, INFN, Universita di Padova, Acciaierie Venete SpA), Corso Stati Uniti 4, 35127 Padova, Italy)
,
Peluso E
(Department of Industrial Engineering, University of Rome ‘Tor Vergata’, via del Politecnico 1, Roma, Italy)
,
Craciunescu T
(National Institute for Laser, Plasma and Radiation Physics, Magurele-Bucharest, Romania)
,
Dormido-Canto S
(Depto. De Informatica y Automatica. UNED, 28040 Madrid, Spain)
,
Lungaroni M
(Department of Industrial Engineering, University of Rome ‘Tor Vergata’, via del Politecnico 1, Roma, Italy)
,
Rossi R
(Department of Industrial Engineering, University of Rome ‘Tor Vergata’, via del Politecnico 1, Roma, Italy)
,
Spolladore L
(Department of Industrial Engineering, University of Rome ‘Tor Vergata’, via del Politecnico 1, Roma, Italy)
,
Vega J
(Laboratorio Nacional de Fusion, CIEMAT, Av. Complutense 40, 28040 Madrid, Spain)
,
Gelfusa M
(Department of Industrial Engineering, University of Rome ‘Tor Vergata’, via del Politecnico 1, Roma, Italy)
,
JET Contributors
資料名:
Plasma Physics and Controlled Fusion
(Plasma Physics and Controlled Fusion)
巻:
64
号:
2
ページ:
024002 (12pp)
発行年:
2022年
JST資料番号:
D0471A
ISSN:
0741-3335
CODEN:
PLPHBZ
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)