@InProceedings{NowosadCamp:2003:NeLeSc,
               author = "Nowosad, Alexandre Guirland and Campos Velho, Haroldo Fraga de",
                title = "New learning scheme for multilayer perceptron neural network 
                         applied to meteorological data assimilation",
            booktitle = "Proceedings...",
                 year = "2003",
               editor = "Minas, Universidade Federal de Ouro Preto. Departamento de 
                         Engenharia Civil",
         organization = "Iberian Latin-American Congress on Computational Methods in 
                         Engineering, 26. (CILAMCE).",
            publisher = "Universidade Federal de Ouro Preto",
              address = "Ouro Preto",
             keywords = "data assimulation; artificial neural, networks, learning process; 
                         numerical weather pretiction",
             abstract = "The meteorological data assimilation process can be described as a 
                         procedure that uses observational data to improve the weather 
                         forecast produced by means of a mathematical model. Traditional 
                         methods include the Kalman filter. However, this method demands a 
                         heavy computational power. Recently, neural networks have been 
                         proposed as a new method for meteorological data assimilation by 
                         employing a multilayer perceptron network to emulate Kalman 
                         filtering at a lower computational cost. This papper presents a 
                         new schme for learning process for the multilayer perceptron 
                         network, giving a more stable behavior for the assimilated data. 
                         Numerical results are shown for the one-dimensional shallow water 
                         meteorological model",
  conference-location = "Ouro Preto, MG",
      conference-year = "29 - 31 Oct. 2003",
           copyholder = "SID/SCD",
            isbn/issn = "ISBN 85-288-0040-7",
             language = "en",
           targetfile = "cil262-28.pdf",
        urlaccessdate = "29 jun. 2024"
}