author = "Velho, Haroldo de Campos and H{\"a}rter, Fabr{\'{\i}}cio P.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {National 
                         Institute of Meteorology (INMet)}",
                title = "Preliminary results with neural network for data assimilation to 
                         the space weather",
            booktitle = "Proceedings...",
                 year = "2009",
               editor = "Scientific and Sawant, Hanumant Shankar and Rao, A. Pramesh and 
                         Gopalswamy, Natchimuthukonar and Hurford, Gordon J. and 
                         Ananthakrishnan, Subramaniam and Executive and Fernandes, 
                         Francisco Carlos Rocha and Moraes, Lu¨ªs Cesar Pereira de",
                pages = "161--168",
         organization = "Brazilian Decimetric Array Workshop.",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Data assimilation is an essential step for improving space weather 
                         operational forecasting by means of an appropriated combination 
                         between observational data and data from a mathematical model. In 
                         the present work data assimilation methods based on Kalman filter 
                         and artificial neural networks are applied to a three-wave model 
                         of auroral radio emissions. A novel data assimilation method is 
                         presented, whereby a multilayer perceptron neural network is 
                         trained to emulate a Kalman filter for data assimilation by using 
                         cross validation. The results obtained render support for the use 
                         of neural networks as an assimilation technique for space weather 
  conference-location = "INPE",
      conference-year = "July 28 ¨C August 1, 2008",
             language = "en",
                  ibi = "8JMKD3MGP8W/35LT4CB",
                  url = "http://urlib.net/rep/8JMKD3MGP8W/35LT4CB",
           targetfile = "BDA_proc25_Haroldo.pdf",
        urlaccessdate = "18 jan. 2021"