Predicción de la concentración de contaminantes atmosféricos basada en un clasificador asociativo de patrones

Itzamá Lopez-Yáñez; Cornelio Yáñez Márquez; Oscar Camacho Nieto; Amadeo José Argüelles Cruz

Predicción de la concentración de contaminantes atmosféricos basada en un clasificador asociativo de patrones

Translated title of the contribution: Prediction of air contaminant concentration based on an associative pattern classifier

Itzamá Lopez-Yáñez, Cornelio Yáñez Márquez, Oscar Camacho Nieto, Amadeo José Argüelles Cruz

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

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).

Translated title of the contribution	Prediction of air contaminant concentration based on an associative pattern classifier
Original language	Spanish
Pages (from-to)	20-30
Number of pages	11
Journal	Revista Facultad de Ingenieria
Issue number	60
State	Published - Sep 2011

Cite this

@article{b77a107294db4a82b3eb10f4f2dd03f8,

title = "Predicci{\'o}n de la concentraci{\'o}n de contaminantes atmosf{\'e}ricos basada en un clasificador asociativo de patrones",

abstract = "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).",

keywords = "Air pollution prediction, Gamma classifier, Pattern classification",

author = "Itzam{\'a} Lopez-Y{\'a}{\~n}ez and M{\'a}rquez, {Cornelio Y{\'a}{\~n}ez} and Nieto, {Oscar Camacho} and Cruz, {Amadeo Jos{\'e} Arg{\"u}elles}",

year = "2011",

month = sep,

language = "Espa{\~n}ol",

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journal = "Revista Facultad de Ingenieria",

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T1 - Predicción de la concentración de contaminantes atmosféricos basada en un clasificador asociativo de patrones

AU - Lopez-Yáñez, Itzamá

AU - Márquez, Cornelio Yáñez

AU - Nieto, Oscar Camacho

AU - Cruz, Amadeo José Argüelles

PY - 2011/9

Y1 - 2011/9

N2 - 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).

AB - 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).

KW - Air pollution prediction

KW - Gamma classifier

KW - Pattern classification

UR - http://www.scopus.com/inward/record.url?scp=83655190885&partnerID=8YFLogxK

M3 - Artículo

SN - 0120-6230

SP - 20

EP - 30

JO - Revista Facultad de Ingenieria

JF - Revista Facultad de Ingenieria

IS - 60

ER -

Predicción de la concentración de contaminantes atmosféricos basada en un clasificador asociativo de patrones

Abstract

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