EXPERIMENTAL AND ARTIFICIAL NEURAL NETWORK APPROACH FOR FORECASTING OF TRAFFIC AIR POLLUTION IN URBAN AREAS: THE CASE OF SUBOTICA
In the recent years, artificial neural networks (ANNs) have been used to predict the concentrations of various gaseous pollutants in ambient air, mainly to forecast mean daily particle concentrations. The data on traffic air pollution, irrespective of whether they are obtained by measuring or modell...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
VINCA Institute of Nuclear Sciences
2010-01-01
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| Series: | Thermal Science |
| Subjects: | |
| Online Access: | http://thermalscience.vinca.rs/2010/5/7 |