Citation
Ali, Amina and Senu, Norazak and Ahmadian, Ali
(2025)
A multi-layer neural network approach for solving fractional heat equations.
In: 16th International Conference on Thermal Engineering: Theory and Applications (ICTEA), 18-20 Jun 2025, Bucharest, Romania. (pp. 1-3).
Abstract
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 method(FDM) are compared. The findings highlight the flexibility and computational efficiency of the proposed approach, making it a promising technique for solving FHEs.
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Additional Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculty of Science |
| Keywords: | Fractional heat equations; Laplace transform; Adam optimizer; And neural network. |
| Depositing User: | Conference 2025 |
| Date Deposited: | 15 Jul 2025 06:49 |
| Last Modified: | 15 Jul 2025 06:49 |
| URI: | http://psasir.upm.edu.my/id/eprint/118498 |
| Statistic Details: | View Download Statistic |
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