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Artificial neural network approach for forecasting nitrogen oxides concentrations

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Artificial neural network approach for forecasting nitrogen oxides concentrations

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Capilla Roma, CA. (2015). Artificial neural network approach for forecasting nitrogen oxides concentrations. Environmental Engineering Science. 32(9):781-788. doi:10.1089/ees.2014.0556

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/63854

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Title: Artificial neural network approach for forecasting nitrogen oxides concentrations
Author: Capilla Romá, Carmen Amparo
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 to forecast hourly nitrogen oxides levels 24 hours in advance. Input data were meteorological variables, average hourly traffic and nitrogen ...[+]
Subjects: Air quality , Nitrogen oxides concentration , Urban atmospheric pollution , Multilayer perceptron , Seasonal variability.
Copyrigths: Reserva de todos los derechos
Source:
Environmental Engineering Science. (issn: 1092-8758 )
DOI: 10.1089/ees.2014.0556
Publisher:
Mary Ann Liebert
Publisher version: http://dx.doi.org/ 10.1089/ees.2014.0556
Type: Artículo

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