文献
J-GLOBAL ID:202202263855028446
整理番号:22A1090262
音響-振動相互作用問題の多変量不確実性定量化のためのサンプル効率の良い深層学習法【JST・京大機械翻訳】
A sample-efficient deep learning method for multivariate uncertainty qualification of acoustic-vibration interaction problems
著者 (12件):
Chen Leilei
(Henan International Joint Laboratory of Structural Mechanics and Computational Simulation, Huanghuai University, PR China)
,
Chen Leilei
(Key Laboratory of In-situ Property-improving Mining of Ministry of Education, Taiyuan University of Technology, Taiyuan, Shanxi, PR China)
,
Chen Leilei
(School of Architectural Engineering, Huanghuai University, PR China)
,
Chen Leilei
(College of Architecture and Civil Engineering, Xinyang Normal University, PR China)
,
Cheng Ruhui
(Henan International Joint Laboratory of Structural Mechanics and Computational Simulation, Huanghuai University, PR China)
,
Cheng Ruhui
(College of Architecture and Civil Engineering, Xinyang Normal University, PR China)
,
Li Shengze
(Academy of Military Science, Beijing, PR China)
,
Lian Haojie
(Henan International Joint Laboratory of Structural Mechanics and Computational Simulation, Huanghuai University, PR China)
,
Lian Haojie
(Key Laboratory of In-situ Property-improving Mining of Ministry of Education, Taiyuan University of Technology, Taiyuan, Shanxi, PR China)
,
Zheng Changjun
(Institute of Sound and Vibration Research, Hefei University of Technology, PR China)
,
Bordas Stephane P.A.
(Institute for Computational Engineering, Faculty of Science, Technology and Communication, University of Luxembourg, Luxembourg)
,
Bordas Stephane P.A.
(School of Engineering, Cardiff University, The Parade, CF24 3AA, Cardiff, UK)
資料名:
Computer Methods in Applied Mechanics and Engineering
(Computer Methods in Applied Mechanics and Engineering)
巻:
393
ページ:
Null
発行年:
2022年
JST資料番号:
E0856A
ISSN:
0045-7825
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)