Neural Networks for Solving PDEs on Edge Computing Platforms: A Comprehensive Analysis
Solving elliptic partial differential equations (PDEs) with traditional methods is challenging on edge devices due to their reliance on fine meshes. This study evaluates neural networks as an efficient alternative, comparing 60 architectures and five optimizers on three single-board computers. Our m...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11086532/ |
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