What if the Covid-19 Pandemic Never Happened? Estimation of the Tourist Arrivals for 2020 Via Levenberg-Marquardt Optimization and K-Star (K*) Machine Learning Algorithms
dc.contributor.author | Şeker, Ferhat | |
dc.contributor.author | Bozkurt, Alper | |
dc.date.accessioned | 2025-01-06T17:22:51Z | |
dc.date.available | 2025-01-06T17:22:51Z | |
dc.date.issued | 2024 | |
dc.department | Adana Alparslan Türkeş Bilim ve Teknoloji Üniversitesi | |
dc.description.abstract | Based on the probability theory, which is used to model uncertainty and randomness in real-world situations, the study aims to understand the impact of uncertain conditions, such as the Covid-19 pandemic, on the accuracy of the algorithms and the resulting losses to a country's tourism industry. The contribution of this paper to the international body of knowledge is twofold: firstly, it advances theoretical understanding of the use of probability theory in modelling real-world problems; and secondly, it offers a methodological approach for estimating tourist arrivals that accounts for the impact of extreme events. To achieve these aims, the Levenberg-Marquardt optimization was first applied to determine the optimal coefficients of the exponential function for estimating tourist arrivals from 1950 to 2020. Next, the K-Star machine learning algorithm was applied to the dataset with and without Covid-19 cases to estimate tourist arrivals. | |
dc.identifier.doi | 10.21325/jotags.2024.1402 | |
dc.identifier.endpage | 717 | |
dc.identifier.issn | 2147-8775 | |
dc.identifier.issue | 1 | |
dc.identifier.startpage | 703 | |
dc.identifier.trdizinid | 1230388 | |
dc.identifier.uri | https://doi.org/10.21325/jotags.2024.1402 | |
dc.identifier.uri | https://search.trdizin.gov.tr/tr/yayin/detay/1230388 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14669/500 | |
dc.identifier.volume | 12 | |
dc.indekslendigikaynak | TR-Dizin | |
dc.language.iso | en | |
dc.relation.ispartof | Journal of Tourism and Gastronomy Studies | |
dc.relation.publicationcategory | Makale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.snmz | KA_20241211 | |
dc.subject | Machine learning | |
dc.subject | Artificial intelligence | |
dc.subject | Levenberg-Marquardt Optimization | |
dc.subject | K* algorithm | |
dc.title | What if the Covid-19 Pandemic Never Happened? Estimation of the Tourist Arrivals for 2020 Via Levenberg-Marquardt Optimization and K-Star (K*) Machine Learning Algorithms | |
dc.type | Article |