PINN training using biobjective optimization: The trade-off between data loss and residual loss-Reference-Cited by-同舟云学术

PINN training using biobjective optimization: The trade-off between data loss and residual loss

Published:2023-09 Issue: Volume:488 Page:112211
ISSN:0021-9991
Container-title:Journal of Computational Physics
language:en
Short-container-title:Journal of Computational Physics

Author:

Heldmann Fabian,Berkhahn Sarah^ORCID,Ehrhardt Matthias^ORCID,Klamroth Kathrin^ORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,Physics and Astronomy (miscellaneous),Applied Mathematics,Computational Mathematics,Modeling and Simulation,Numerical Analysis

Reference44 articles.

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4. Determining COVID-19 dynamics using physics informed neural networks;Malinzi;Axioms,2022

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