Previsão de atividade solar a partir da configuração dos campos magnéticos fotosféricos

Página do item simplificado
dc.contributor.advisorSilva, Adriana Valio Roque dapt_BR
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/1041565102315246por
dc.contributor.authorRaffaelli, Tatiana Ferreirapt_BR
dc.creator.Latteshttp://lattes.cnpq.br/4850159588410222por
dc.date.accessioned2016-03-15T19:38:06Z
dc.date.accessioned2020-05-28T18:08:41Z
dc.date.available2007-11-09pt_BR
dc.date.available2020-05-28T18:08:41Z
dc.date.issued2007-09-18pt_BR
dc.description.abstractThe existence of a highly reliable prediction system to detect the occurrence of large solar flares (class X) is still an unsolved problem. Despite many studies performed so far, no such a system has been found yet. In this work, we have developed a method using Bayesian Network - an Artificial Intelligence technique for the detection of giant solar flares. The Bayesian Networks software learned the relation among the variables that describe the sunspots within an active region and built a network with the relationships among them based on conditional probabilities. The studies were divided into two stages one to detect whether the sunspot would produce a big flare or not and another phase where some networks were built to discover the day the flare would occur. The first phase results were very satisfactory reaching a reliability of 77%. The second phase was more complex and the results were about 77% (with day constraints) and 54% (a wider range of days).eng
dc.formatapplication/pdfpor
dc.identifier.citationRAFFAELLI, Tatiana Ferreira. Previsão de atividade solar a partir da configuração dos campos magnéticos fotosféricos. 2007. 107 f. Dissertação (Mestrado em Engenharia Elétrica) - Universidade Presbiteriana Mackenzie, São Paulo, 2007.por
dc.identifier.urihttp://dspace.mackenzie.br/handle/10899/24392
dc.languageporpor
dc.publisherUniversidade Presbiteriana Mackenziepor
dc.rightsAcesso Abertopor
dc.subjectRegiões ativas. Explosões solares. Redes Bayesianas. Fusão de informação. Sistemas de previsão.por
dc.subjectActive Regions. Solar flares. Bayesian networks. Fusion of information. Forecast systems.eng
dc.subject.cnpqCNPQ::ENGENHARIAS::ENGENHARIA ELETRICApor
dc.thumbnail.urlhttp://tede.mackenzie.br/jspui/retrieve/3603/Tatiana%20Ferreira%20Raffaelli.pdf.jpg*
dc.titlePrevisão de atividade solar a partir da configuração dos campos magnéticos fotosféricospor
dc.typeDissertaçãopor
local.contributor.board1Marengoni, Mauríciopt_BR
local.contributor.board1Latteshttp://lattes.cnpq.br/1974791787566027por
local.contributor.board2Costa, Joaquim Eduardo Rezendept_BR
local.contributor.board2Latteshttp://lattes.cnpq.br/7275059047419031por
local.publisher.countryBRpor
local.publisher.departmentEngenharia Elétricapor
local.publisher.initialsUPMpor
local.publisher.programEngenharia Elétricapor
Arquivos
Pacote Original
Agora exibindo 1 - 1 de 1
Imagem de Miniatura
Nome:
Tatiana Ferreira Raffaelli.pdf
Tamanho:
1.31 MB
Formato:
Adobe Portable Document Format
Descrição:
Baixar
Coleções
Engenharia Elétrica e Computação - Dissertações - EE Higienópolis