Name
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-85920-8_79 | CIARP |
Keywords | Field | DocType |
metropolitan index,gamma classifier,different environmental phenomenon,air quality data,artificial intelligence,genetic algorithm,mexico city air quality,current work,environmental science,artificial neural network,machine learning,artificial intelligent,indexation,air quality | Data mining,Data analysis,Computer science,Air quality index,Artificial intelligence,Classifier (linguistics),Artificial neural network,Metropolitan area,Genetic algorithm,Machine learning | Conference |
Volume | ISSN | Citations |
5197 | 0302-9743 | 5 |
PageRank | References | Authors |
0.84 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cornelio Yáñez-Márquez | 1 | 153 | 26.34 |
| Itzamá López-Yáñez | 2 | 78 | 11.76 |
| Guadalupe Luz Sáenz Morales | 3 | 5 | 0.84 |