Dynamic & norm-based weights to normalize imbalance in back-propagated gradients of physics-informed neural networks

Physics-Informed Neural Networks (PINNs) have been a promising machine learning model for evaluating various physical problems. Despite their success in solving many types of partial differential equations (PDEs), some problems have been found to be difficult to learn, implying that the baseline PIN...

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Bibliographic Details
Main Authors: Shota Deguchi, Mitsuteru Asai
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:Journal of Physics Communications
Subjects:
Online Access:https://doi.org/10.1088/2399-6528/ace416

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