A multi-layer neural network approach for solving fractional heat equations
In this study, a new multi-layer neural network (MLNN) approach designed to solve fractional heat equations (FHEs) is introduced. To handle the fractional derivative, the Laplace transform for approximation was applied. The results of our approach with those obtained using the finite difference me...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2025
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| Online Access: | http://psasir.upm.edu.my/id/eprint/118498/1/118498.pdf http://psasir.upm.edu.my/id/eprint/118498/ https://journals.library.torontomu.ca/index.php/ictea/article/view/2664 |
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