%0 Journal Article
%T Predicci¨®n de la concentraci¨®n de contaminantes atmosf¨¦ricos basada en un clasificador asociativo de patrones
%A L¨®pez Y¨¢£¿ez
%A Itzam¨¢
%A Y¨¢£¿ez M¨¢rquez
%A Cornelio
%A Camacho Nieto
%A Oscar
%A Arg¨¹elles Cruz
%A Amadeo Jos¨¦
%J Revista Facultad de Ingenier¨ªa Universidad de Antioquia
%D 2011
%I Scientific Electronic Library Online
%X from a little more than 15 years to this day, several methods and techniques taken from the area of pattern recognition have been employed on the treatment of data concerning environmental protection. in particular, diverse research groups have applied genetic algorithms and artificial neural networks to the prediction of data related to atmospheric sciences and the environment. in this paper, the authors present the results of applying the gamma classifier to the prediction of future values for air contaminants concentration, obtaining competitive results (rmse of 0.556382 ppm for carbon monoxide).
%K air pollution prediction
%K pattern classification
%K gamma classifier.
%U http://www.scielo.org.co/scielo.php?script=sci_abstract&pid=S0120-62302011000400003&lng=en&nrm=iso&tlng=en