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

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	Artificial Intelligence Applications and Innovations - 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Proceedings
Editorial	Springer New York LLC
Páginas	313-322
Número de páginas	10
Edición	PART 2
ISBN (versión impresa)	9783642239595
DOI	https://doi.org/10.1007/978-3-642-23960-1_38
Estado	Publicada - 2011
Evento	7th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2011 - Corfu, Grecia Duración: 15 sep. 2011 → 18 sep. 2011

Serie de la publicación

Nombre	IFIP Advances in Information and Communication Technology
Número	PART 2
Volumen	364 AICT
ISSN (versión impresa)	1868-4238

Conferencia

Conferencia	7th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2011
País/Territorio	Grecia
Ciudad	Corfu
Período	15/09/11 → 18/09/11

Acceder al documento

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

Otros archivos y enlaces

Enlace a la publicación en Scopus

Citar esto

Argüelles, A., Yáñez, C., López, I., & Camacho, O. (2011). Prediction of CO and NO_x levels in Mexico City using associative models. En 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, N.º 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).

@inproceedings{d49fc5fdb8944084822f2bc1bee3f019,

title = "Prediction of CO and NOx levels in Mexico City using associative models",

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.",

keywords = "Associative memories, atmospheric monitoring, pollution prediction",

author = "Amadeo Arg{\"u}elles and Cornelio Y{\'a}{\~n}ez and Itzam{\'a} L{\'o}pez and Oscar Camacho",

year = "2011",

doi = "10.1007/978-3-642-23960-1_38",

language = "Ingl{\'e}s",

isbn = "9783642239595",

series = "IFIP Advances in Information and Communication Technology",

publisher = "Springer New York LLC",

number = "PART 2",

pages = "313--322",

booktitle = "Artificial Intelligence Applications and Innovations - 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Proceedings",

address = "Estados Unidos",

edition = "PART 2",

note = "7th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2011 ; Conference date: 15-09-2011 Through 18-09-2011",

}

Argüelles, A , Yáñez, C , López, I & Camacho, O 2011, Prediction of CO and NO_x levels in Mexico City using associative models. En 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., IFIP Advances in Information and Communication Technology, n.º 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, Grecia, 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, N.º PART 2).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Prediction of CO and NOx levels in Mexico City using associative models

AU - Argüelles, Amadeo

AU - Yáñez, Cornelio

AU - López, Itzamá

AU - Camacho, Oscar

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Associative memories

KW - atmospheric monitoring

KW - pollution prediction

UR - http://www.scopus.com/inward/record.url?scp=80055050309&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-23960-1_38

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

M3 - Contribución a la conferencia

SN - 9783642239595

T3 - IFIP Advances in Information and Communication Technology

SP - 313

EP - 322

BT - Artificial Intelligence Applications and Innovations - 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Proceedings

PB - Springer New York LLC

T2 - 7th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2011

Y2 - 15 September 2011 through 18 September 2011

ER -

Argüelles A , Yáñez C , López I , Camacho O. Prediction of CO and NO_x levels in Mexico City using associative models. En 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