Prediction of hourly air pollutant concentrations near urban arterials using artificial neural network approach
- 25 November 2008
- journal article
- Published by Elsevier BV in Transportation Research Part D: Transport and Environment
- Vol. 14 (1), 32-41
- https://doi.org/10.1016/j.trd.2008.10.004
Abstract
No abstract availableKeywords
This publication has 17 references indexed in Scilit:
- A neural network forecast for daily average PM10 concentrations in BelgiumAtmospheric Environment, 2005
- Extensive evaluation of neural network models for the prediction of NO2 and PM10 concentrations, compared with a deterministic modelling system and measurements in central HelsinkiAtmospheric Environment, 2003
- Measurement and prediction of ozone levels around a heavily industrialized area: a neural network approachAdvances in Environmental Research, 2001
- Neural network modelling and prediction of hourly NOx and NO2 concentrations in urban air in LondonAtmospheric Environment, 1999
- Urban air pollution in megacities of the worldAtmospheric Environment, 1996
- Approximate explicit solution to the general line source problemAtmospheric Environment, 1995
- Regression and stochastic models for air pollution—I. Review, comments and suggestionsAtmospheric Environment, 1994
- Some new results on neural network approximationNeural Networks, 1993
- First- and Second-Order Methods for Learning: Between Steepest Descent and Newton's MethodNeural Computation, 1992
- Multilayer feedforward networks are universal approximatorsNeural Networks, 1989