@InProceedings{FurtadoVelhMaca:2010:NeNeEm,
               author = "Furtado, Helaine and Velho, Haroldo Campos and Macau, Elbert E. 
                         N.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Neural networks for emulation variational method for data 
                         assimilation in nonlinear dynamics",
            booktitle = "Proceedings...",
                 year = "2010",
               editor = "Macau, Elbert Einstein Nehrer and Turci, Luiz Felipe Ramos and 
                         Martins Filho, Luiz Siqueira",
         organization = "Dynamics Days South America 2010. - International conference on 
                         chaos and nonlinear dynamics.",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Data assimilation, kalman filter, particle filter, variational 
                         method, artificial neural networks.",
             abstract = "Description of a physical phenomenon through differential 
                         equations presents errors involved, since the mathematical model 
                         is always an approximation of reality. For an operational 
                         prediction system, one strategy to improve the prediction is to 
                         add some information from the real dynamics into mathematical 
                         model. This aditional information consists of observations on the 
                         phenomenon. However, the observational data insertion should be 
                         done carefully, for avoiding a worse performance of the 
                         prediction.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos",
      conference-year = "July 26-30, 2010",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP7W/383ASCL",
                  url = "http://urlib.net/ibi/8JMKD3MGP7W/383ASCL",
           targetfile = "70216.pdf_m=70216\&fi=0\&f=70216.pdf",
        urlaccessdate = "29 jun. 2024"
}