Communications at congresses:
Air pollution data classification by SOM Neural Network
Year:2012
Research Areas
- Engineering
Information
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Abstract
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| Over the last ten years, Salamanca has been considered among the most polluted cities in México. This paper presents a Self-Organizing Maps (SOM) Neural Network application to classify pollution data and automatize the air pollution level determination for Sulphur Dioxide (SO 2) in Salamanca. Meteorological parameters are well known to be important factors contributing to air quality estimation and prediction. In order to observe the behavior and clarify the influence of wind parameters on the SO 2 concentrations a SOM ... | |
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International
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Congress
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World Automation Congress (WAC), 2012 |
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960 |
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Place
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Puerto Vallarta, Mexico |
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Reviewers
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Si |
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ISBN/ISSN
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2154-4824 |
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Start Date
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24/06/2012 |
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End Date
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28/06/2012 |
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From page
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1 |
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To page
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5 |
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World Automation Congress (WAC), 2012 |
Open Access publication
Participants
- Autor: JM Barron-Adame División de Ingenierías, Universidad de Guanajuato, Salamanca, México
- Autor: OG Ibarra-Manzano División de Ingenierías, Universidad de Guanajuato, Salamanca, México
- Autor: A Vega-Corona División de Ingenierías, Universidad de Guanajuato, Salamanca, México
- Autor: María Guadalupe Cortina Januchs UPM
- Autor: Diego Andina De la Fuente UPM
Research Group, Departaments and Institutes related
- Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
- Departamento: Señales, Sistemas y Radiocomunicaciones