%0 Journal Article
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%@nexthigherunit 8JMKD3MGPCW/3ETL868
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%X 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.
%@mirrorrepository sid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
%T Predicting the probability of occurrence of spread-F over Brazil using neural networks
%@secondarytype PRE PI
%K Equatorial, Spread-F, Ionosphere, Neural networks, Irregularities.
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%@usergroup banon
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%@group DAE-CEA-INPE-MCT-BR
%@group DAE-CEA-INPE-MCT-BR
%3 abdu1.pdf
%@secondarykey INPE--PRE/
%@secondarymark B4_ASTRONOMIA_/_FÍSICA B3_CIÊNCIAS_BIOLÓGICAS_I B1_ENGENHARIAS_III B1_ENGENHARIAS_IV B1_GEOCIÊNCIAS B1_INTERDISCIPLINAR
%@issn 0273-1177
%2 sid.inpe.br/mtc-m19@80/2010/08.02.12.34.58
%@affiliation Dept. of Physics and Electronics, Rhodes University, P.O. Box 94, Grahamstown 6139, South Africa
%@affiliation Hermanus Magnetic Observatory, P.O. Box 32, Hermanus 7200, South Africa
%@affiliation Hermanus Magnetic Observatory, P.O. Box 32, Hermanus 7200, South Africa
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%B Advances in Space Research
%4 sid.inpe.br/mtc-m19@80/2010/08.02.12.34
%D 2010
%V Article in Press, Corrected Proof
%@doi 10.1016/j.asr.2010.06.020
%A McKinnell, L. A.,
%A Paradza, L. A.,
%A Cilliers, P. J.,
%A Abdu, M. A.,
%A Souza, J. R. de,
%@dissemination WEBSCI; PORTALCAPES; MGA; COMPENDEX.
%@area CEA