Funder
Directorate for Mathematical and Physical Sciences
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,Applied Mathematics
Reference31 articles.
1. Anitescu, C., Atroshchenko, E., Alajlan, N., Rabczuk, T.: Artificial neural network methods for the solution of second order boundary value problems. Comput. Mater. Contin. 59(1), 345–359 (2019)
2. Berg, J., Nystrom, K.: A unified deep artificial neural network approach to partial differential equations in complex geometries. Neurocomputing 317, 28–41 (2018)
3. Berg, J., Nystrom, K.: Data-driven discovery of PDEs in complex datasets. J. Comput. Phys. 284, 239–252 (2019)
4. Brunton, S.L., Proctor, J.L., Kutz, J.N.: Discovering governing equations from data by sparse identification of nonlinear dynamical systems. Proc. Natl. Acad. Sci. 113(15), 3932–3937 (2016)
5. Chen, Z., Xiu, D.: On generalized residue network for deep learning of unknown dynamical systems. J. Comput. Phys. 438, 110362 (2021)
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献