Air quality estimation by computational intelligence methodologies

Air quality estimation by computational intelligence methodologies

The subject of this study is to compare different computational intelligence methodologies based on artificial neural networks used for forecasting an air quality parameter - the emission of CO2, in the city of Niš. Firstly, inputs of the CO2 emission estimator are analyzed and their measurement...

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Bibliographic Details
Main Authors: Ćirić Ivan T., Ćojbašić Žarko M., Nikolić Vlastimir D., Živković Predrag M., Tomić Mladen A.
Format: Article
Language:English
Published: VINCA Institute of Nuclear Sciences 2012-01-01
Series:Thermal Science
Subjects:
computational intelligence
CO2 emission
air quality
neural networks
hybrid neuro-fuzzy systems
Online Access:http://www.doiserbia.nb.rs/img/doi/0354-9836/2012/0354-98361200186C.pdf

Internet

http://www.doiserbia.nb.rs/img/doi/0354-9836/2012/0354-98361200186C.pdf

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