TY - GEN
T1 - Analysis and prediction of air quality data with the gamma classifier
AU - Yáñez-Márquez, Cornelio
AU - López-Yáñez, Itzamá
AU - DeLaLuzSáenzMorales, Guadalupe
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
KW - Air quality forecast
KW - Gamma classifier
UR - http://www.scopus.com/inward/record.url?scp=55349091384&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-85920-8_79
DO - 10.1007/978-3-540-85920-8_79
M3 - Contribución a la conferencia
SN - 3540859195
SN - 9783540859192
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 651
EP - 658
BT - Progress in Pattern Recognition, Image Analysis and Applications - 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008, Proceedings
T2 - 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008
Y2 - 9 September 2008 through 12 September 2008
ER -