Extensive evaluation of neural network models for the prediction of NO2 and PM10 concentrations, compared with a deterministic modelling system and measurements in central Helsinki

Kukkonen, J., Partanen, L., Karppinen, A., Ruuskanen, J., Junninen, H., Kolehmainen, M., Niska, H., Dorling, S., Chatterton, T., Foxall, R. and Cawley, G. (2003) Extensive evaluation of neural network models for the prediction of NO2 and PM10 concentrations, compared with a deterministic modelling system and measurements in central Helsinki. Atmospheric Environment, 37 (32). pp. 4539-4550. ISSN 1352-2310

Full text not available from this repository

Publisher's URL: http://dx.doi.org/10.1016/S1352-2310(03)00583-1


Item Type:Article
Additional Information:Equal co-author. Arising from IST RTD project (2000 � 2002) involving 9 institutions in 5 countries developing modelling tools for improved smog management. This paper assists air quality managers in the selection of predictive tools.
Uncontrolled Keywords:neural network models, NO2, PM10, Helsinki
Faculty/Department:Faculty of Environment and Technology
ID Code:6231
Deposited By: R. Upload account
Deposited On:22 Jan 2010 15:11
Last Modified:11 Nov 2014 09:33

Request a change to this item

Copyright 2013 © UWE better together