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Analysis and Prediction of Air Quality Data with the Gamma Classifier

  • Cornelio Yáñez-Márquez
  • Itzamá López-Yáñez
  • Guadalupe de la Luz Sáenz Morales
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5197)

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.

Keywords

Air quality forecast gamma classifier 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Cornelio Yáñez-Márquez
    • 1
  • Itzamá López-Yáñez
    • 1
  • Guadalupe de la Luz Sáenz Morales
    • 1
  1. 1.IPN Centro de Investigación en Computación Juan de Dios Bátiz s/n esq. Miguel Othón de MendizábalUnidad Profesional Adolfo López MateosMéxico, D.F.México

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