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DRVN (deep random vortex network): A new physics-informed machine learning method for simulating and inferring incompressible fluid flows 期刊论文
PHYSICS OF FLUIDS, 2022, 卷号: 34, 期号: 10, 页码: 21
作者:  Zhang, Rui;  Hu, Peiyan;  Meng, Qi;  Wang, Yue;  Zhu, Rongchan;  Chen, Bingguang;  Ma, Zhi-Ming;  Liu, Tie-Yan
收藏  |  浏览/下载：74/0  |  提交时间：2023/02/07
Stein variational gradient descent with local approximations 期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2021, 卷号: 386, 页码: 20
作者:  Yan, Liang;  Zhou, Tao
收藏  |  浏览/下载：110/0  |  提交时间：2022/04/02
Stein variational gradient decent  Bayesian inference  Deep learning  Local approximation  
Prediction of mechanical properties of micro-alloyed steels via neural networks learned by water wave optimization 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2020, 卷号: 32, 期号: 10, 页码: 5583-5598
作者:  Liu, Ao;  Li, Peng;  Sun, Weiliang;  Deng, Xudong;  Li, Weigang;  Zhao, Yuntao;  Liu, Bo
收藏  |  浏览/下载：162/0  |  提交时间：2020/06/30
Neural networks  Water wave optimization  Meta-Lamarckian learning  Prediction of mechanical properties  
Lowering eccentricity of a tree by node upgrading 期刊论文
NETWORKS, 2005, 卷号: 45, 期号: 4, 页码: 232-239
作者:  Ibaraki, T;  Vaxes, Y;  Yang, XG
收藏  |  浏览/下载：101/0  |  提交时间：2018/07/30
eccentricity  node upgrading  edge upgrading  discrete upgrading strategy  continuous upgrading strategy  tree  line  
A network improvement problem under different norms 期刊论文
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2004, 卷号: 27, 期号: 3, 页码: 305-319
作者:  Zhang, JZ;  Yang, XG;  Cai, MC
收藏  |  浏览/下载：112/0  |  提交时间：2018/07/30
network improvement problems  location problem  strongly polynomial algorithms  inapproximability