Communications at congresses:
Unsupervised method to classify PM10 pollutant concentrations
Year:2012
Research Areas
- Engineering
Information
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Abstract
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| In this paper a method based mainly on Data Fusion and Artificial Neural Networks to classify one of the most important pollutants such as Particulate Matter less than 10 micrometer in diameter (PM 10) concentrations is proposed. The main objective is to... | |
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International
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Si |
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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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6 |
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World Automation Congress (WAC), 2012 |
Open Access publication
Participants
- Autor: Antonio Vega corona Univ. Guanajuato
- Autor: Jose Miguel Barron-Adame University of Guanajuato
- Autor: Jesús Antonio Herrera-Delgado University of Guanajuato
- Autor: Joel Quintanilla Dominguez UPM
- 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