An Adaptive Physics-Informed Neural Network with Two-Stage Learning Strategy to Solve Partial Differential Equations
DOI10.4208/nmtma.oa-2022-0063OpenAlexW4362736676MaRDI QIDQ6191768
Unnamed Author, Unnamed Author, Ding Liu, Unnamed Author
Publication date: 11 March 2024
Published in: Numerical Mathematics: Theory, Methods and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.4208/nmtma.oa-2022-0063
partial differential equationsscientific computingtwo-stage learningphysics informed neural networks
Artificial neural networks and deep learning (68T07) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65M99) Other special methods applied to PDEs (35A25) Numerical methods for partial differential equations, boundary value problems (65N99)
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