文献
J-GLOBAL ID:202102255363101389
整理番号:21A0814847
ニューラルネットワークと遺伝的アルゴリズムに基づくハイブリッド複合構造のマルチスケール不確実性最適化設計【JST・京大機械翻訳】
Multiple-scale uncertainty optimization design of hybrid composite structures based on neural network and genetic algorithm
著者 (8件):
Peng Xiang
(College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China)
,
Peng Xiang
(Collaborative Innovation Center of High-end Laser Manufacturing Equipment (National “2011 Plan”), Zhejiang University of Technology, Hangzhou 310023, China)
,
Qiu Chan
(State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou 310014, China)
,
Li Jiquan
(College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China)
,
Wu Huaping
(College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China)
,
Wu Huaping
(Collaborative Innovation Center of High-end Laser Manufacturing Equipment (National “2011 Plan”), Zhejiang University of Technology, Hangzhou 310023, China)
,
Liu Zhenyu
(State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou 310014, China)
,
Jiang Shaofei
(College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China)
資料名:
Composite Structures
(Composite Structures)
巻:
262
ページ:
Null
発行年:
2021年
JST資料番号:
D0145B
ISSN:
0263-8223
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)