A comparison of deep learning-based techniques for solving partial differential equations
Obtaining the solutions of high-dimensional partial differential equations (PDEs) seems to be difficult by utilizing the classical numerical methods. Recently, deep neural networks (DNNs) techniques have received special attentions in solving high–dimensional problems in PDEs. In this study, our que...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
American Institute of Physics Inc.
2024
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/38814/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/38814/2/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/38814/ https://doi.org/10.1063/5.0171671 |
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