2011
DOI: 10.2991/ijcis.2011.4.4.23
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Polluants Time-Series Prediction Using the Gamma Classifier

Abstract: 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 (O 3), sulfur dioxide (SO 2), and nitrogen oxides (NO x , including both nitrogen monoxide, NO, and n… Show more

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Cited by 3 publications
(1 citation statement)
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“…Simultaneously due to various road conditions and drivers' behaviors, the issue of traffic safety has also become a public problem 2 . Meanwhile, the growing severity of air pollution has long plagued the society, resulting in the decline of people's health condition and exerting a negative effect on the reservation of cultural relics and historical sites [3][4] . To solve these problems, the Beijing municipal government has taken a series of tentative measures.…”
Section: Introductionmentioning
confidence: 99%
“…Simultaneously due to various road conditions and drivers' behaviors, the issue of traffic safety has also become a public problem 2 . Meanwhile, the growing severity of air pollution has long plagued the society, resulting in the decline of people's health condition and exerting a negative effect on the reservation of cultural relics and historical sites [3][4] . To solve these problems, the Beijing municipal government has taken a series of tentative measures.…”
Section: Introductionmentioning
confidence: 99%