@Article{McKinnellParCilAbdSou:2010:PrPrOc,
               author = "McKinnell, L. A. and Paradza, L. A. and Cilliers, P. J. and Abdu, 
                         M. A. and Souza, J. R. de",
          affiliation = "Dept. of Physics and Electronics, Rhodes University, P.O. Box 94, 
                         Grahamstown 6139, South Africa and Hermanus Magnetic Observatory, 
                         P.O. Box 32, Hermanus 7200, South Africa and Hermanus Magnetic 
                         Observatory, P.O. Box 32, Hermanus 7200, South Africa and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Predicting the probability of occurrence of spread-F over Brazil 
                         using neural networks",
              journal = "Advances in Space Research",
                 year = "2010",
               volume = "Article in Press, Corrected Proof",
             keywords = "Equatorial, Spread-F, Ionosphere, Neural networks, 
                         Irregularities.",
             abstract = "The probability of occurrence of spread-F can be modeled and 
                         predicted using neural networks (NNs). This paper presents a 
                         feasibility study into the development of a NN based model for the 
                         prediction of the probability of occurrence of spread-F over 
                         selected equatorial stations within the Brazilian sector. The 
                         input space included the day number (seasonal variation), hour 
                         (diurnal variation), sunspot number (measure of the solar 
                         activity), magnetic index (measure of the magnetic activity) and 
                         magnetic position. Twelve years of spread-F data from Brazil 
                         (covering the period 19781989) measured at the equatorial site 
                         Fortaleza (3.9°S, 38.45°W) and low latitude site Cachoeira 
                         Paulista (22.6°S, 45.0°W) are used in the development of an input 
                         space and NN architecture for the model. Spread-F data that is 
                         believed to be related to plasma bubble developments (range 
                         spread-F) was used in the development of the model. The model 
                         results show the probability of spread-F occurrence as a function 
                         of local time, season and latitude. Results from the Brazilian 
                         Sector NN (BSNN) based model are presented in this paper, as well 
                         as a comparative analysis with a Brazilian model developed for the 
                         same purpose.",
                  doi = "10.1016/j.asr.2010.06.020",
                  url = "http://dx.doi.org/10.1016/j.asr.2010.06.020",
                 issn = "0273-1177",
             language = "en",
           targetfile = "abdu1.pdf",
        urlaccessdate = "30 abr. 2024"
}