Weight initialization algorithm for physics-informed neural networks using finite differences
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,General Engineering,Modeling and Simulation,Software
Link
https://link.springer.com/content/pdf/10.1007/s00366-023-01883-y.pdf
Reference35 articles.
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3. Bihlo A, Popovych RO (2022) Physics-informed neural networks for the shallow-water equations on the sphere. J Comput Phys 456:111024
4. Lou Q, Meng X, Karniadakis GE (2021) Physics-informed neural networks for solving forward and inverse flow problems via the boltzmann-bgk formulation. J Comput Phys 447:110676
5. Gao H, Sun L, Wang JX (2021) Phygeonet: Physics-informed geometry-adaptive convolutional neural networks for solving parameterized steady-state pdes on irregular domain. J Comput Phys 428:110079
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