@InProceedings{MódoloGuimRosa:2016:SuAuCl,
               author = "M{\'o}dolo, Marcelo and Guimar{\~a}es, Lamartine Nogueira 
                         Frutuoso and Rosa, Reinaldo Roberto",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         de Estudos Avan{\c{c}}ados (IEAv)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Supernovae automatic classification method by modeling human 
                         analysis using artificial neural networks",
                 year = "2016",
         organization = "International Conference on Nonlinear Science and Complexity, 6.",
             keywords = "celestial mechanics and astronomy dynamics, modeling, numerical 
                         simulation and optimization, nonlinear systems and neural 
                         dynamics, supernovae automatic classification, supernovae spectrum 
                         analysis.",
             abstract = "Classify a recently discovered supernova is not trivial and only a 
                         few experts astronomers are able to perform it. The existing 
                         automatic classifiers did not do the modeling of the human way of 
                         analyzing the spectrum to classify supernovas. They only compares 
                         the spectrum similarity of discovered supernova with spectra of 
                         supernovae have already been classified. The automatic method 
                         proposing in this paper models the human way of classification 
                         using Neural Networks Multilayer Perceptron to analyze the 
                         supernovae spectra. The experiments performed obtained significant 
                         results indicating the viability of using this method in places 
                         that require an automatic analysis or that have no specialist.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP",
      conference-year = "16-20 May",
             language = "en",
           targetfile = "modolo_supernovae.pdf",
        urlaccessdate = "28 abr. 2024"
}