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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m16d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP7W/38226GH
Repositóriosid.inpe.br/mtc-m19@80/2010/08.02.12.34   (acesso restrito)
Última Atualização2010:08.02.12.38.12 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m19@80/2010/08.02.12.34.58
Última Atualização dos Metadados2018:06.05.04.36.57 (UTC) administrator
Chave SecundáriaINPE--PRE/
DOI10.1016/j.asr.2010.06.020
ISSN0273-1177
Chave de CitaçãoMcKinnellParCilAbdSou:2010:PrPrOc
TítuloPredicting the probability of occurrence of spread-F over Brazil using neural networks
Ano2010
Data de Acesso05 maio 2024
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho700 KiB
2. Contextualização
Autor1 McKinnell, L. A.
2 Paradza, L. A.
3 Cilliers, P. J.
4 Abdu, M. A.
5 Souza, J. R. de
Grupo1
2
3
4 DAE-CEA-INPE-MCT-BR
5 DAE-CEA-INPE-MCT-BR
Afiliação1 Dept. of Physics and Electronics, Rhodes University, P.O. Box 94, Grahamstown 6139, South Africa
2 Hermanus Magnetic Observatory, P.O. Box 32, Hermanus 7200, South Africa
3 Hermanus Magnetic Observatory, P.O. Box 32, Hermanus 7200, South Africa
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
RevistaAdvances in Space Research
VolumeArticle in Press, Corrected Proof
Nota SecundáriaB4_ASTRONOMIA_/_FÍSICA B3_CIÊNCIAS_BIOLÓGICAS_I B1_ENGENHARIAS_III B1_ENGENHARIAS_IV B1_GEOCIÊNCIAS B1_INTERDISCIPLINAR
Histórico (UTC)2011-05-24 23:23:34 :: m -> administrator :: 2010
2012-07-15 03:42:55 :: administrator -> banon :: 2010
2013-02-19 13:54:32 :: banon -> administrator :: 2010
2018-06-05 04:36:57 :: administrator -> m :: 2010
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Palavras-ChaveEquatorial
Spread-F
Ionosphere
Neural networks
Irregularities
ResumoThe 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.
ÁreaCEA
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Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Arquivo Alvoabdu1.pdf
Grupo de Usuáriosadministrator
banon
m
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
5. Fontes relacionadas
Repositório Espelhosid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
Unidades Imediatamente Superiores8JMKD3MGPCW/3ETL868
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Acervo Hospedeirosid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel documentstage e-mailaddress electronicmailaddress format isbn label lineage mark month nextedition notes number orcid pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url versiontype
7. Controle da descrição
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