Application of Radial Basis Function Networks with Feature Selection for GDP per Capita Estimation Based on Academic Parameters

Basit Öğe Kaydı
dc.contributor.authorTumer, Abdullah Erdal
dc.contributor.authorAkkus, Aytekin
dc.date.accessioned2024-02-23T14:49:10Z
dc.date.available2024-02-23T14:49:10Z
dc.date.issued2019
dc.departmentNEÜen_US
dc.description.abstractIn this work, a system based on Radial Basis Function Network was developed to estimate Gross Domestic Product per capita. The data set based on 180 academic parameters of 13 Organisation for Economic Co-operation and Development countries was used to verify the effectiveness and accuracy of the proposed method. Gross Domestic Product per capita was studied to be estimated for the first time with academic parameters in this study. The system has been optimized using feature selection method to eliminate unimportant features. Radial Basis Function network results and Radial Basis Function network with feature selection method results were compared. The findings show that the Radial Basis Function network with feature selection is 10% more successful than the Radial Basis Function results. Based on results, this methodology can be applied in applications of Gross Domestic Product per capita forecasting.en_US
dc.identifier.endpage150en_US
dc.identifier.issn0267-6192
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85070586145en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage145en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12452/18042
dc.identifier.volume34en_US
dc.identifier.wosWOS:000500643600004en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTech Science Pressen_US
dc.relation.ispartofComputer Systems Science And Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEstimationen_US
dc.subjectRadial Basic Functionen_US
dc.subjectFeature Selectionen_US
dc.subjectGross Domestic Product Per Capitaen_US
dc.subjectEconomicen_US
dc.titleApplication of Radial Basis Function Networks with Feature Selection for GDP per Capita Estimation Based on Academic Parametersen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu