Prediction of CO and NOx levels in Mexico City using associative models

Amadeo Argüelles; Cornelio Yáñez; Itzamá López; Oscar Camacho

doi:10.1007/978-3-642-23960-1_38

Prediction of CO and NO_x levels in Mexico City using associative models

Amadeo Argüelles, Cornelio Yáñez, Itzamá López, Oscar Camacho

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Artificial Intelligence has been present since more than two decades ago, in the treatment of data concerning the protection of the environment; in particular, various groups of researchers have used genetic algorithms and artificial neural networks in the analysis of data related to the atmospheric sciences and the environment. However, in this kind of applications has been conspicuously absent from the associative models, by virtue of which the classic associative techniques exhibit very low yields. This article presents the results of applying Alpha-Beta associative models in the analysis and prediction of the levels of Carbon Monoxide (CO) and Nitrogen Oxides (NO_x) in Mexico City.

Original language	English
Title of host publication	Artificial Intelligence Applications and Innovations - 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Proceedings
Publisher	Springer New York LLC
Pages	313-322
Number of pages	10
Edition	PART 2
ISBN (Print)	9783642239595
DOIs	https://doi.org/10.1007/978-3-642-23960-1_38
State	Published - 2011
Event	7th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2011 - Corfu, Greece Duration: 15 Sep 2011 → 18 Sep 2011

Publication series

Name	IFIP Advances in Information and Communication Technology
Number	PART 2
Volume	364 AICT
ISSN (Print)	1868-4238

Conference

Conference	7th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2011
Country/Territory	Greece
City	Corfu
Period	15/09/11 → 18/09/11

Keywords

Associative memories
atmospheric monitoring
pollution prediction

Access to Document

10.1007/978-3-642-23960-1_38

Cite this

Argüelles, A., Yáñez, C., López, I., & Camacho, O. (2011). Prediction of CO and NO_x levels in Mexico City using associative models. In Artificial Intelligence Applications and Innovations - 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Proceedings (PART 2 ed., pp. 313-322). (IFIP Advances in Information and Communication Technology; Vol. 364 AICT, No. PART 2). Springer New York LLC. https://doi.org/10.1007/978-3-642-23960-1_38

Argüelles, Amadeo ; Yáñez, Cornelio ; López, Itzamá et al. / Prediction of CO and NO_x levels in Mexico City using associative models. Artificial Intelligence Applications and Innovations - 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Proceedings. PART 2. ed. Springer New York LLC, 2011. pp. 313-322 (IFIP Advances in Information and Communication Technology; PART 2).

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abstract = "Artificial Intelligence has been present since more than two decades ago, in the treatment of data concerning the protection of the environment; in particular, various groups of researchers have used genetic algorithms and artificial neural networks in the analysis of data related to the atmospheric sciences and the environment. However, in this kind of applications has been conspicuously absent from the associative models, by virtue of which the classic associative techniques exhibit very low yields. This article presents the results of applying Alpha-Beta associative models in the analysis and prediction of the levels of Carbon Monoxide (CO) and Nitrogen Oxides (NOx) in Mexico City.",

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Argüelles, A , Yáñez, C , López, I & Camacho, O 2011, Prediction of CO and NO_x levels in Mexico City using associative models. in Artificial Intelligence Applications and Innovations - 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Proceedings. PART 2 edn, IFIP Advances in Information and Communication Technology, no. PART 2, vol. 364 AICT, Springer New York LLC, pp. 313-322, 7th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2011, Corfu, Greece, 15/09/11. https://doi.org/10.1007/978-3-642-23960-1_38

Prediction of CO and NO_x levels in Mexico City using associative models. / Argüelles, Amadeo ; Yáñez, Cornelio ; López, Itzamá et al.
Artificial Intelligence Applications and Innovations - 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Proceedings. PART 2. ed. Springer New York LLC, 2011. p. 313-322 (IFIP Advances in Information and Communication Technology; Vol. 364 AICT, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Argüelles A , Yáñez C , López I , Camacho O. Prediction of CO and NO_x levels in Mexico City using associative models. In Artificial Intelligence Applications and Innovations - 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Proceedings. PART 2 ed. Springer New York LLC. 2011. p. 313-322. (IFIP Advances in Information and Communication Technology; PART 2). doi: 10.1007/978-3-642-23960-1_38