EXPLORING THE ACCURACY OF AN OPTIMIZATION-FREE NEURAL NETWORK FORECASTING MODEL IN MATHEMATICAL EPIDEMIOLOGY: A CASE STUDY IN TÜRKİYE
| dc.contributor.author | Ahmad, Muhammad Jalil | |
| dc.contributor.author | Günel, Korhan | |
| dc.date.accessioned | 2023-06-12T14:03:59Z | |
| dc.date.available | 2023-06-12T14:03:59Z | |
| dc.date.issued | 2023-04-30 | |
| dc.description.abstract | In this study, we explore the use of mathematical epidemiology models in predicting COVID-19 cases in Turkey. Our approach employs a Feed-Forward Neural Network solver, which is designed to quickly converge and make accurate predictions. To eliminate the need for time-intensive optimization procedures, the network weights are calculated using the Extreme Learning Machine algorithm, ensuring adherence to the initial conditions set by the epidemiology models. We examine the performance of both the Susceptible-Infected (SI) and Susceptible-Infected-Susceptible (SIS) models using this approach and evaluate their accuracy. | en_US |
| dc.description.sponsorship | This study is funded by Aydın Adnan Menderes University Scientific Research Projects (BAP) with the grant number ADÜ-FEF-22026. The authors would like to acknowledge the support provided by BAP commission and staff. | en_US |
| dc.description.uri | http://jomardpublishing.com/UploadFiles/Files/journals/JTME/V8N1/Ahmad_Cunel.pdf | en_US |
| dc.format.extent | 9 pages | en_US |
| dc.genre | journal articles | en_US |
| dc.identifier | doi:10.13016/m2zs74-keju | |
| dc.identifier.citation | Ahmad, Muhammad Jalil and Korhan G¨unel. "EXPLORING THE ACCURACY OF AN OPTIMIZATION-FREE NEURAL NETWORK FORECASTING MODEL IN MATHEMATICAL EPIDEMIOLOGY: A CASE STUDY IN TURK˙IYE." Journal of Modern Technology and Engineering 8, no.1 (30 April 2023): 63-71. http://jomardpublishing.com/UploadFiles/Files/journals/JTME/V8N1/Ahmad_Cunel.pdf. | en_US |
| dc.identifier.uri | http://hdl.handle.net/11603/28159 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Jomard Publishing | en_US |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Mathematics Department Collection | |
| dc.relation.ispartof | UMBC Student Collection | |
| dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | en_US |
| dc.rights | Attribution 4.0 International (CC BY 4.0) | * |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | * |
| dc.title | EXPLORING THE ACCURACY OF AN OPTIMIZATION-FREE NEURAL NETWORK FORECASTING MODEL IN MATHEMATICAL EPIDEMIOLOGY: A CASE STUDY IN TÜRKİYE | en_US |
| dc.type | Text | en_US |
| dcterms.creator | https://orcid.org/0000-0003-1694-3567 | en_US |