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Application of radial basis functions compared to neural networks to predict air pollution

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Application of radial basis functions compared to neural networks to predict air pollution

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Capilla, C. (2015). Application of radial basis functions compared to neural networks to predict air pollution. WIT Transactions on Ecology and the Environment. 198:41-50. doi:10.2495/AIR150051

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/63886

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Title: Application of radial basis functions compared to neural networks to predict air pollution
Author: Capilla, Carmen
UPV Unit: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Issued date:
Abstract:
This paper studies the application of radial basis functions to predict nitrogen oxides 24 hours in advance. The forecast interval was chosen for practical regulatory reasons. The two study areas are in Valencia (Spain), ...[+]
Subjects: Urban air quality , Nitrogen oxides , Neural networks , Radial basis functions , Multiplayer perceptron
Copyrigths: Reserva de todos los derechos
Source:
WIT Transactions on Ecology and the Environment. (issn: 1746-448X ) (eissn: 1743-3541 )
DOI: 10.2495/AIR150051
Publisher:
WIT Press
Publisher version: http://dx.doi.org/10.2495/AIR150041
Type: Artículo

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