A Multi-Layer Neural Network Approach for Solving Fractional Heat Equations
| dc.authorscopusid | 57208467202 | |
| dc.authorscopusid | 55670963500 | |
| dc.authorscopusid | 59760609700 | |
| dc.contributor.author | Ali, Amina Hassan | |
| dc.contributor.author | Senu, Norazak | |
| dc.contributor.author | Ahmadian, Ali | |
| dc.date.accessioned | 2025-09-15T18:35:37Z | |
| dc.date.available | 2025-09-15T18:35:37Z | |
| dc.date.issued | 2025 | |
| dc.department | Okan University | en_US |
| dc.department-temp | [Ali] Amina Hassan, Department of Mathematics, University of Sulaimani, Sulaymaniyah, Iraq; [Senu] Norazak, Department of Mathematics and Statistics, Universiti Putra Malaysia, Serdang, Malaysia; [Ahmadian] Ali, Decisions Lab, Università degli Studi di Reggio Calabria, Reggio Calabria, Italy, Department of Mathematics and Computer Science, Lebanese American University, Beirut, Lebanon, Faculty of Engineering and Natural Sciences, Istanbul Okan University, Tuzla, Turkey | en_US |
| dc.description.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. © 2025 Elsevier B.V., All rights reserved. | en_US |
| dc.identifier.issn | 2562-9034 | |
| dc.identifier.issue | 1 | en_US |
| dc.identifier.scopus | 2-s2.0-105012354565 | |
| dc.identifier.scopusquality | Q4 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14517/8379 | |
| dc.identifier.volume | 1 | en_US |
| dc.identifier.wosquality | N/A | |
| dc.language.iso | en | en_US |
| dc.publisher | Toronto Metropolitan University | en_US |
| dc.relation.ispartof | International Conference on Thermal Engineering | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Adam Optimizer | en_US |
| dc.subject | Fractional Heat Equations | en_US |
| dc.subject | Laplace Transform | en_US |
| dc.subject | Neural Network | en_US |
| dc.title | A Multi-Layer Neural Network Approach for Solving Fractional Heat Equations | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
| gdc.coar.access | metadata only access | |
| gdc.coar.type | text::conference output |