@InProceedings{NowosadCampRios:2000:DaAsCh,
               author = "Nowosad, Alexandre Guirland and Campos Velho, Haroldo Fraga de and 
                         Rios Neto, Atair",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade do Vale 
                         do Para{\'{\i}}ba (UNIVAP)}",
                title = "Data assimilation in chaotic dynamics using neural networks",
            booktitle = "Proceedings...",
                 year = "2000",
         organization = "International Conference on Nonlinear Dynamics, Chaos, Control and 
                         Their Applications in Engineering Sciences (ICONNE).",
             keywords = "Data assimilation, Chaotic dynamics, Neural networks, COMPUTER 
                         SCIENCE.",
             abstract = "ABSTRACT: Multilayered Perceptrons Neural Networks are used for 
                         data assimilation in two non-linear dynamic systems: the H\'enon 
                         and Lorenz systems in chaotic state. This aproach {"}emulates{"} 
                         here the Kalman Filter data assimilation method but does not 
                         require recalculation of the gain matrix at each instant of 
                         assimilation. In the case of H\'enon system an Adaptive Extended 
                         Kalman Filter was used to provide examples for network training. 
                         In the case of Lorenz system the Extended Kalman Filter was used 
                         for network training. The preliminary results obtained were 
                         promising. .",
  conference-location = "Campos do Jord{\~a}o, SP",
      conference-year = "july 31-aug. 4",
             language = "en",
        urlaccessdate = "11 maio 2024"
}