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dc.creatorTodorović-Drakul, Miljana
dc.creatorSamardžić-Petrović, Mileva
dc.creatorGrekulović, Sanja
dc.creatorOdalović, Oleg
dc.creatorBlagojević, Dragan
dc.date.accessioned2019-04-19T14:30:00Z
dc.date.available2019-04-19T14:30:00Z
dc.date.issued2018
dc.identifier.issn0352-3659
dc.identifier.urihttp://grafar.grf.bg.ac.rs/handle/123456789/955
dc.description.abstractThis paper is dedicated to modeling extreme TEC (Total Electron Content) values at the territory of Serbia. For the extreme TEC values, we consider the maximum values from the peak of the 11-year cycle of solar activity in the years 2013, 2014 and 2015 for the days of the winter and summer solstice and autumnal and vernal equinox. The average TEC values between 10 and 12 UT (Universal Time) were treated. As the basic data for all processing, we used GNSS (Global Navigation Satellite System) observation obtained by three permanent stations located in the territory of Serbia. Those data, we accept as actual, i. e. as a "true TEC values". The main objectives of this research were to examine the possibility to use two machine learning techniques: neural networks and support vector machine. In order to emphasize the quality of applied techniques, all results are adequately compared to the TEC values obtained by using International Reference Ionosphere global model. In addition, we separately analyzed the quality of techniques throughout temporal and spatial-temporal approach.en
dc.publisherGeofizicki Zavod
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/36020/RS//
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/36009/RS//
dc.rightsrestrictedAccess
dc.sourceGeofizika
dc.subjectTECen
dc.subjectmachine learningen
dc.subjectionosphereen
dc.subjectGNSSen
dc.subjectIRIen
dc.titleModelling extreme values of the total electron content: Case study of Serbiaen
dc.typearticle
dc.rights.licenseBY-NC
dc.citation.epage314
dc.citation.issue2
dc.citation.other34(2): 297-314
dc.citation.rankM23
dc.citation.spage297
dc.citation.volume34
dc.identifier.doi10.15233/gfz.2017.34.12
dc.identifier.rcubconv_1952
dc.identifier.scopus2-s2.0-85044933552
dc.identifier.wos000425726300005
dc.type.versionpublishedVersion


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