NEURAL PREDICTOR DESIGN FOR COVID-19 CASES IN DIFFERENT REGIONS

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dc.contributor.authorYildirim, Sahin
dc.contributor.authorDurmusoglu, Aslı
dc.contributor.authorSevim, Caglar
dc.contributor.authorBingol, Mehmet Safa
dc.contributor.authorKalkat, Menderes
dc.date.accessioned2024-11-07T10:40:13Z
dc.date.available2024-11-07T10:40:13Z
dc.date.issued2023
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractCOVID-19, which emerged in the past years, has affected human life in many different ways. The COVID-19 virus has spread very quickly around the world and has become a pandemic. In many applications, artificial neural networks are used to estimate system parameters in real-time or simulation-based methods. In this study, the daily and total number of cases in Turkey, Italy and India are predicted. Three alternative areas, with or without following rules, are chosen for the COVID-19 cases. For this prediction process, 3 different neural network methods are used: Nonlinear autoregressive neural network (NAR-NN), Adaptive-Network Based Fuzzy Inference Systems (ANFIS) and Autoregressive integrated moving average (ARIMA). The results obtained for 3 different neural networks are given with graphs and tables. The conclusion of this study may be used to improve the precaution for the pandemic. © 2023, Cefin Publishing House. All rights reserved.
dc.identifier.doi10.17683/ijomam/issue14.2
dc.identifier.endpage18
dc.identifier.issn2559-6497
dc.identifier.issue14
dc.identifier.scopus2-s2.0-85178438689
dc.identifier.scopusqualityQ4
dc.identifier.startpage14
dc.identifier.urihttps://doi.org/10.17683/ijomam/issue14.2
dc.identifier.urihttps://hdl.handle.net/11480/11521
dc.identifier.volume2023
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherCefin Publishing House
dc.relation.ispartofInternational Journal of Mechatronics and Applied Mechanics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241106
dc.subjectANFIS
dc.subjectARIMA
dc.subjectCovid-19
dc.subjectNAR-NN
dc.subjectPrediction
dc.titleNEURAL PREDICTOR DESIGN FOR COVID-19 CASES IN DIFFERENT REGIONS
dc.typeArticle

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