| Título |
Analysis and Prediction of Air Quality Data with the Gamma Classifier |
| Tipo |
Congreso |
| Sub-tipo |
SCOPUS |
| Descripción |
Lecture Notes in Computer Science; 13th Iberoamerican Congress on Pattern Recognition |
| Resumen |
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. |
| Observaciones |
Progress in Pattern Recognition; (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Image Analysis and Applications; CIARP 2008; Code 74234 |
| Lugar |
La Habana |
| País |
Cuba |
| No. de páginas |
651-658 |
| Vol. / Cap. |
5197 |
| Inicio |
2008-09-09 |
| Fin |
2008-09-12 |
| ISBN/ISSN |
978-3-540-85919-2 |
