Analysis and Prediction of Air Quality Data with the Gamma Classifier

Authors:
Cornelio Yáñez-Márquez;Itzamá López-Yáñez;Guadalupe Luz Sáenz Morales
Affiliations:
IPN Centro de Investigación en Computación Juan de Dios Bátiz s/n esq. Miguel Othón de Mendizábal, Unidad Profesional Adolfo López Mateos, México, D.F., Méx ...;IPN Centro de Investigación en Computación Juan de Dios Bátiz s/n esq. Miguel Othón de Mendizábal, Unidad Profesional Adolfo López Mateos, México, D.F., Méx ...;IPN Centro de Investigación en Computación Juan de Dios Bátiz s/n esq. Miguel Othón de Mendizábal, Unidad Profesional Adolfo López Mateos, México, D.F., Méx ...
Venue:
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Year:
2008

Citing 4
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Abstract

In later years, different environmental phenomena have attracted the attention of artificial intelligence and machine learning researchers. In particular, several research groups have applied genetic algorithms and artificial neural networks to the analysis of data related to atmospheric and environmental sciences. In the current work, the results of applying the Gamma classifier to the analysis and prediction of air quality data related to the Mexico City Air Quality Metropolitan Index (IMECA in Spanish) are presented.