文献
J-GLOBAL ID:202002220031625686
整理番号:20A2770960
複雑な荷重下のDP780鋼の塑性挙動を予測するための深層ニューラルネットワークモデルの使用【JST・京大機械翻訳】
Using deep neural network model to predict the plastic behaviour of DP780 steel under complex loading
著者 (4件):
Fu Zemin
(School of Mechanical Engineering, Shanghai Institute of Technology, Shanghai, 201418, China)
,
Fu Zemin
(Shanghai Engineering Research Centre of Physical Vapor Deposition (PVD) Superhard Coating and Equipment, Shanghai Institute of Technology, Shanghai, 201418, China)
,
Xiong Pengpeng
(School of Mechanical Engineering, Shanghai Institute of Technology, Shanghai, 201418, China)
,
Xiong Pengpeng
(Shanghai Engineering Research Centre of Physical Vapor Deposition (PVD) Superhard Coating and Equipment, Shanghai Institute of Technology, Shanghai, 201418, China)
資料名:
Journal of Physics: Conference Series
(Journal of Physics: Conference Series)
巻:
1684
号:
1
ページ:
012010 (9pp)
発行年:
2020年
JST資料番号:
W5565A
ISSN:
1742-6588
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)