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Multilayer perceptron and regression modelling to forecast hourly nitrogen dioxide concentrations

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Multilayer perceptron and regression modelling to forecast hourly nitrogen dioxide concentrations

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Capilla, C. (2014). Multilayer perceptron and regression modelling to forecast hourly nitrogen dioxide concentrations. En Air Pollution XXII. WIT Press. 39-48. doi:10.2495/AIR140041

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/52221

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Title: Multilayer perceptron and regression modelling to forecast hourly nitrogen dioxide concentrations
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 presents the application of feed-forward multilayer perceptron networks and multiple regression models, to forecast hourly nitrogen dioxide levels 24 hours in advance. Input data are traffic and meteorological ...[+]
Subjects: Air quality , Nitrogen dioxide concentration , Urban atmosphere pollution , Multilayer perceptron , Multiple regression model
Copyrigths: Reserva de todos los derechos
ISBN: 978-1-84564-782-7
Source:
Air Pollution XXII. (issn: 1746-448x ) (eissn: 1743-3541 )
DOI: 10.2495/AIR140041
Publisher:
WIT Press
Publisher version: http://dx.doi.org/10.2495/AIR140041
Series: WIT Transactions on Ecology and the Environment;183
Type: Capítulo de libro

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