Two possible approaches for ionospheric forecasting to be employed along with the IRI model

Basit Öğe Kaydı
dc.authorscopusid6506579346
dc.authorscopusid25923643700
dc.authorscopusid23491110600
dc.authorscopusid6701308329
dc.authorscopusid6602873434
dc.contributor.authorŞenalp E.T.
dc.contributor.authorÜnal I.
dc.contributor.authorYeşil A.
dc.contributor.authorTulunay Y.
dc.contributor.authorTulunay E.
dc.date.accessioned2024-08-04T20:04:01Z
dc.date.available2024-08-04T20:04:01Z
dc.date.issued2011
dc.departmentİnönü Üniversitesien_US
dc.description2011 30th URSI General Assembly and Scientific Symposium, URSIGASS 2011 -- 13 August 2011 through 20 August 2011 -- Istanbul -- 87252en_US
dc.description.abstractIonospheric forecasting is a popular research area required by telecommunication and navigation system planners and operators. The problem is challenging because ionospheric processes are nonlinear. Data-driven techniques are of particular interest since they overcome most of these difficulties. In this work, two possible ionospheric forecasting approaches have been considered to be employed along with the IRI model. The authors reported these approaches previously. Ionospheric critical frequency values have been forecast using Fuzzy inference and Neural Networks considering the two possible approaches, METU-FNN and METU-NN. In parallel, the foF2 values have been calculated based on the IRI model. © 2011 IEEE.en_US
dc.identifier.doi10.1109/URSIGASS.2011.6050921
dc.identifier.isbn9781424451173
dc.identifier.scopus2-s2.0-81255204993en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/URSIGASS.2011.6050921
dc.identifier.urihttps://hdl.handle.net/11616/92300
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartof2011 30th URSI General Assembly and Scientific Symposium, URSIGASS 2011en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCritical frequenciesen_US
dc.subjectData-drivenen_US
dc.subjectIonospheric forecastingen_US
dc.subjectResearch areasen_US
dc.subjectF regionen_US
dc.subjectFuzzy inferenceen_US
dc.subjectFuzzy neural networksen_US
dc.subjectNavigation systemsen_US
dc.subjectWeather forecastingen_US
dc.titleTwo possible approaches for ionospheric forecasting to be employed along with the IRI modelen_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu