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. (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 13522310

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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.
Faculty/Department:Faculty of Environment and Technology
ID Code:6231
Deposited By: R. Upload account
Deposited On:22 Jan 2010 15:11
Last Modified:12 Aug 2013 07:59

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