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Monte Carlo fPINNs: Deep learning method for forward and inverse problems involving high dimensional fractional partial differential equations 期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2022, 卷号: 400, 页码: 17
作者:  Guo, Ling;  Wu, Hao;  Yu, Xiaochen;  Zhou, Tao
收藏  |  浏览/下载：51/0  |  提交时间：2023/02/07
Physics -informed neural networks  Fractional Laplacian  Nonlocal operators  Uncertainty quantification  
Efficient Stochastic Galerkin Methods for Maxwell's Equations with Random Inputs 期刊论文
JOURNAL OF SCIENTIFIC COMPUTING, 2019, 卷号: 80, 期号: 1, 页码: 248-267
作者:  Fang, Zhiwei;  Li, Jichun;  Tang, Tao;  Zhou, Tao
收藏  |  浏览/下载：160/0  |  提交时间：2020/01/10
Maxwell's equations  Finite element method  Random inputs  Polynomial chaos methods  Stochastic Galerkin  
Identification of linear continuous-time systems under irregular and random output sampling 期刊论文
AUTOMATICA, 2015, 卷号: 60, 页码: 100-114
作者:  Mu, Biqiang;  Guo, Jin;  Wang, Le Yi;  Yin, George;  Xu, Lijian;  Zheng, Wei Xing
收藏  |  浏览/下载：104/0  |  提交时间：2018/07/30
Linear continuous-time system  Irregular and random sampling  Identifiability  Iterative algorithm  Recursive algorithm  Strong consistency  Asymptotical normality  
Recursive identification for Wiener systems using Gaussian inputs 期刊论文
ASIAN JOURNAL OF CONTROL, 2008, 卷号: 10, 期号: 3, 页码: 341-350
作者:  Hu, Xiao-Li;  Chen, Han-Fu
收藏  |  浏览/下载：94/0  |  提交时间：2018/07/30
Wiener system  nonparametric nonlinearity  recursive estimate  strong consistency  stochastic approximation