@Article{AnochiCamp:2016:PrClPr,
author = "Anochi, Juliana Aparecida and Campos Velho, Haroldo Fraga de",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Previs{\~a}o clim{\'a}tica de precipita{\c{c}}{\~a}o para a
regi{\~a}o Sul por rede neural autoconfigurada",
journal = "Ci{\^e}ncia e Natura",
year = "2016",
volume = "38",
number = "Esp.",
pages = "98--104",
note = "IX Workshop Brasileiro de Micrometeorologia, 2016.",
keywords = "Previs{\~a}o clim{\'a}tica, precipita{\c{c}}{\~a}o, rede
neural, otimiza{\c{c}}{\~a}o, redu{\c{c}}{\~a}o de dados,
Climate prediction, precipitation, neural network, optimazation,
data reduction.",
abstract = "Previs{\~a}o clim{\'a}tica do campo de precipita{\c{c}}{\~a}o
{\'e} um aspecto chave, pois esta {\'e} uma vari{\'a}vel
meteorol{\'o}gica dif{\'{\i}}cil, de grande variabilidade
temporal e espacial, com forte impacto para a sociedade. Um
m{\'e}todo baseado em rede neural artificial {\'e} aplicado para
previs{\~a}o mensal e sazonal de precipita{\c{c}}{\~a}o na
regi{\~a}o Sul do Brasil. O uso de redes neurais como um modelo
preditivo {\'e} bastante difundido em diferentes
aplica{\c{c}}{\~o}es. A melhor configura{\c{c}}{\~a}o para a
rede neural {\'e} calculada automaticamente. O esquema de
autoconfigura{\c{c}}{\~a}o {\'e} descrito como um problema de
otimiza{\c{c}}{\~a}o. ABSTRACT: Climate prediction for
precipitation field is a key issue, because such meteorological
variable is the challenge for climate and weather forecasting due
to the high spatial and temporal variability with strong impact on
the society. A method based on the artificial neural network is
applied to monthly and seasonal precipitation forecast in southern
Brazil. The use of neural networks as a predictive model is
widespread in different applications. The best configuration for
the neural network is automatically calculated. The
autoconfiguration scheme is described as an optimization
problem.",
doi = "10.5902/2179460X19968",
url = "http://dx.doi.org/10.5902/2179460X19968",
issn = "0100-8307 and 2179-460X",
language = "pt",
targetfile = "Anochi_Previsao.pdf",
url = "http://periodicos.ufsm.br/cienciaenatura/article/view/19968/pdf",
urlaccessdate = "28 abr. 2024"
}