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Exploring hidden flow structures from sparse data through deep learning strengthened proper orthogonal decomposition 期刊论文
PHYSICS OF FLUIDS, 2023, 卷号: 35, 期号: 3, 页码: 37119
Authors:  Yan C(闫畅);  Xu SF(许盛峰);  Sun ZX(孙振旭);  Guo DL(郭迪龙);  Ju SJ(鞠胜军);  Huang RF(黄仁芳);  Yang GW(杨国伟)
Adobe PDF(11492Kb)  |  Favorite  |  View/Download：132/12  |  Submit date：2023/04/20
A computational method for the load spectra of large-scale structures with a data-driven learning algorithm 期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2023, 卷号: 66, 期号: 1, 页码: 141-154
Authors:  Chen XJ(陈贤佳);  Yuan, Zheng;  Li, Qiang;  Sun, ShouGuang;  Wei YJ(魏宇杰)
Adobe PDF(2512Kb)  |  Favorite  |  View/Download：319/96  |  Submit date：2023/02/09
load spectrum  computational mechanics  deep learning  data-driven modeling  gated recurrent unit neural network