@InProceedings{CorrêaCustCamp:2019:MoRaFo,
               author = "Corr{\^e}a, Cleber Sousa and Cust{\'o}dio, Diogo Machado and 
                         Campos Velho, Haroldo Fraga de",
          affiliation = "{Instituto de Aeron{\'a}utica e Espa{\c{c}}o (IAE)} and 
                         {Instituto de Aeron{\'a}utica e Espa{\c{c}}o (IAE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Monthly Rainfall forecast study in southeastern Brazil using 
                         Multi-layer Perceptron (MLP) neural networks",
            booktitle = "Anais...",
                 year = "2019",
         organization = "Workshop Brasileiro de Micrometeorologia, 11.",
             keywords = "rede neural, s{\'e}ries temporais, precipita{\c{c}}{\~a}o 
                         mensal, neural network, time series, monthly rainfall.",
             abstract = "Este trabalho usa a t{\'e}cnica de rede neural MLP para fazer 
                         estimativas de previs{\~a}o de precipita{\c{c}}{\~a}o mensal 
                         para o aeroporto de Guarulhos, no sudeste do Brasil, usando 
                         s{\'e}ries temporais de aproximadamente 70 anos. Estruturas da 
                         rede neural com duas ou mais camadas apresentaram melhores 
                         resultados, minimizando os erros de predi{\c{c}}{\~a}o. 
                         ABSTRACT: This work uses the MLP neural network technique to make 
                         monthly rainfall forecast estimates for Guarulhos airport in 
                         southeastern Brazil using a time series of approximately 70 years. 
                         Neural network structures with two or more hidden layers showed a 
                         better result, minimizing the prediction error.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP",
      conference-year = "20-22 nov.",
             language = "en",
           targetfile = "correa_monthly.pdf",
        urlaccessdate = "20 maio 2024"
}