Pollutants Time-Series Prediction using the Gamma Classifier

@article{LpezYez2011PollutantsTP,
  title={Pollutants Time-Series Prediction using the Gamma Classifier},
  author={Itzam{\'a} L{\'o}pez-Y{\'a}{\~n}ez and Amadeo Jos{\'e} Arg{\"u}elles-Cruz and Oscar Camacho Nieto and Cornelio Y{\'a}{\~n}ez-M{\'a}rquez},
  journal={Int. J. Comput. Intell. Syst.},
  year={2011},
  volume={4},
  pages={680-711}
}
In this work we predict time series of air pollution data taken in Mexico City and the Valley of Mexico, by using the Gamma Classifier which is a novel intelligent associative mathematical model, coupled with an emergent coding technique. Historical and current data about the concentration of specific pollutants, in the form of time series, were used. The pollutants of interest are: carbon monoxide (CO), ozone (O3), sulfur dioxide (SO2), and nitrogen oxides (NOx, including both nitrogen… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 35 REFERENCES

Mastral, Seasonal variation of benzo(a)pyrene in the Spanish airborne PM10. Multivariate linear regression model applied to estimate BaP concentrations

M. S. Callén, A.M.J.M. López
  • Journal of Hazardous Materials,
  • 2010
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Mastral, Seasonal variation of benzo(a)pyrene in the Spanish airborne PM10. Multivariate linear regression model applied to estimate BaP concentrations

M. S. Callén, A.M.J.M. López
  • Journal of Hazardous Materials,
  • 2010
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Paliatsos, 3-Day- Ahead Forecasting of Regional Pollution Index for the Pollutants NO2, CO, SO2, and O3 Using Artificial Neural Networks in Athens, Greece, Water, Air, & Soil Pollution

K. P. Moustris, A.G.I.C. Ziomas
  • 2010

Multi-stage decision tree based on inter-class and inner-class margin of SVM

  • 2009 IEEE International Conference on Systems, Man and Cybernetics
  • 2009
VIEW 1 EXCERPT