Descripción
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his paper present an environmental contingency forecasting tool based on Neural Networks (NN). Forecasting tool analyzes every hour and daily Sulphur Dioxide (SO 2) concentrations and Meteorological data time series. Pollutant concentrations and meteorological variables are self-organized applying a Self-organizing Map (SOM) NN in different classes. Classes are used in training phase of a General Regression Neural Network (GRNN) classifier to provide an air quality forecast. In this case a time series set ... | |
Internacional
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Si |
Nombre congreso
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World Automation Congress (WAC), 2012 |
Tipo de participación
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960 |
Lugar del congreso
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Puerto Vallarta (México) |
Revisores
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Si |
ISBN o ISSN
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2154-4824 |
DOI
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Fecha inicio congreso
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24/06/2012 |
Fecha fin congreso
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28/06/2012 |
Desde la página
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1 |
Hasta la página
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6 |
Título de las actas
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World Automation Congress (WAC), 2012 |