Estimating pollutant emission into the atmosphere: a neural network approach
A very significant issue today concerns the problem of air pollution caused mainly by human activity. The statistics show that most of the pollutants in the atmosphere is due to emissions caused by anthropogenic factors (e.g. power and industrial plants, traffic and combustion phenomena in general). In this paper we evaluate the implementation of a model using artificial neural networks to forecast short-term rate of air pollution for supporting environmental policy decisions.
|Date of creation:||Oct 2011|
|Contact details of provider:|| Postal: Largo Papa Giovanni Paolo II, 1 -71100- Foggia (I)|
Web page: http://www.dsems.unifg.it
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:ufg:qdsems:10-2011. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Luca Grilli)
If references are entirely missing, you can add them using this form.