Efficient training of physics‐informed neural networks via importance sampling
Auteur(s): |
Mohammad Amin Nabian
(NVIDIA Santa Clara California USA)
Rini Jasmine Gladstone (Department of Civil and Environmental Engineering University of Illinois at Urbana‐Champaign Urbana Illinois USA) Hadi Meidani (Department of Civil and Environmental Engineering University of Illinois at Urbana‐Champaign Urbana Illinois USA) |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Computer-Aided Civil and Infrastructure Engineering, 8 juillet 2021, n. 8, v. 36 |
Page(s): | 962-977 |
DOI: | 10.1111/mice.12685 |
- Informations
sur cette fiche - Reference-ID
10601279 - Publié(e) le:
17.04.2021 - Modifié(e) le:
26.08.2021