Application of the gamma classifier to environmental data prediction

Itzamá López-Yáñez; Cornelio Yáñez-Márquez; Guadalupe De La Luz Sáenz-Morales

doi:10.1109/CERMA.2008.35

Application of the gamma classifier to environmental data prediction

Itzamá López-Yáñez, Cornelio Yáñez-Márquez, Guadalupe De La Luz Sáenz-Morales

Producción científica: Contribución a una conferencia › Artículo › revisión exhaustiva

2 Citas (Scopus)

Resumen

Analysis of environmental data by means of Artificial Intelligence has become a quite active area of scientific research. Some techniques which have found important application in this area are neural networks, genetic algorithms, and other pattern classifier algorithms, such as SVMs. In the current paper, a member of the Associative Approach of pattern recognition of recent proposal is applied to environmental data from Mexico City.

Idioma original	Inglés
Páginas	80-84
Número de páginas	5
DOI	https://doi.org/10.1109/CERMA.2008.35
Estado	Publicada - 2008
Evento	Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008 - Cuernavaca, Morelos, México Duración: 30 sep. 2008 → 3 oct. 2008

Conferencia

Conferencia	Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008
País/Territorio	México
Ciudad	Cuernavaca, Morelos
Período	30/09/08 → 3/10/08

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10.1109/CERMA.2008.35

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title = "Application of the gamma classifier to environmental data prediction",

abstract = "Analysis of environmental data by means of Artificial Intelligence has become a quite active area of scientific research. Some techniques which have found important application in this area are neural networks, genetic algorithms, and other pattern classifier algorithms, such as SVMs. In the current paper, a member of the Associative Approach of pattern recognition of recent proposal is applied to environmental data from Mexico City.",

author = "Itzam{\'a} L{\'o}pez-Y{\'a}{\~n}ez and Cornelio Y{\'a}{\~n}ez-M{\'a}rquez and S{\'a}enz-Morales, {Guadalupe De La Luz}",

year = "2008",

doi = "10.1109/CERMA.2008.35",

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

pages = "80--84",

note = "Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008 ; Conference date: 30-09-2008 Through 03-10-2008",

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Application of the gamma classifier to environmental data prediction. / López-Yáñez, Itzamá ; Yáñez-Márquez, Cornelio; Sáenz-Morales, Guadalupe De La Luz.
2008. 80-84 Papel presentado en Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008, Cuernavaca, Morelos, México.

Producción científica: Contribución a una conferencia › Artículo › revisión exhaustiva

TY - CONF

T1 - Application of the gamma classifier to environmental data prediction

AU - López-Yáñez, Itzamá

AU - Yáñez-Márquez, Cornelio

AU - Sáenz-Morales, Guadalupe De La Luz

PY - 2008

Y1 - 2008

N2 - Analysis of environmental data by means of Artificial Intelligence has become a quite active area of scientific research. Some techniques which have found important application in this area are neural networks, genetic algorithms, and other pattern classifier algorithms, such as SVMs. In the current paper, a member of the Associative Approach of pattern recognition of recent proposal is applied to environmental data from Mexico City.

AB - Analysis of environmental data by means of Artificial Intelligence has become a quite active area of scientific research. Some techniques which have found important application in this area are neural networks, genetic algorithms, and other pattern classifier algorithms, such as SVMs. In the current paper, a member of the Associative Approach of pattern recognition of recent proposal is applied to environmental data from Mexico City.

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U2 - 10.1109/CERMA.2008.35

DO - 10.1109/CERMA.2008.35

M3 - Artículo

SP - 80

EP - 84

T2 - Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008

Y2 - 30 September 2008 through 3 October 2008

ER -

Application of the gamma classifier to environmental data prediction

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