Two possible approaches for ionospheric forecasting to be employed along with the IRI model
Küçük Resim Yok
Tarih
2011
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Ionospheric 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.
Açıklama
2011 30th URSI General Assembly and Scientific Symposium, URSIGASS 2011 -- 13 August 2011 through 20 August 2011 -- Istanbul -- 87252
Anahtar Kelimeler
Critical frequencies, Data-driven, Ionospheric forecasting, Research areas, F region, Fuzzy inference, Fuzzy neural networks, Navigation systems, Weather forecasting
Kaynak
2011 30th URSI General Assembly and Scientific Symposium, URSIGASS 2011
WoS Q Değeri
Scopus Q Değeri
N/A
