abstract = "This work proposes a MLP to forecast time series of water level at 
                         the outlet of a watershed in a mountain region. Input data was 
                         collected by a set of 8 hydrologic monitoring stations, acquired 
                         with a 15-minute resolution. Our results show a good agreement 
                         between predicted and observed values of the water-level time 
                         series, combining water level and rainfall data in the input 
                         layer: Nash-Sutcliffe coefficient reached 0.995 for prediction 
                         antecedence of 15 minutes, and 0.913, for 120 minutes.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
               author = "Freitas, Cintia Pereira de",
                 city = "S{\~a}o Jos{\'e} dos Campos",
       conferencename = "Workshop dos Cursos de Computa{\c{c}}{\~a}o Aplicada do INPE, 20 
                 date = "8-11 e 14-17 set. 2020",
             language = "pt",
                 note = "{(15 min)}",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
     publisheraddress = "S{\~a}o Jos{\'e} dos Campos",
                  ibi = "8JMKD3MGPDW34P/43HC3NP",
                  url = "http://urlib.net/rep/8JMKD3MGPDW34P/43HC3NP",
           targetfile = "Rainfall and water level data for very short-term hydrological 
                         forecasting - Cintia Freitas.mp4",
                title = "Combining rainfall and water level data for multistep very 
                         short-term empirical hydrological forecasting",
                 type = "modelagem computacional",
                 year = "2020",
        urlaccessdate = "18 jan. 2021"