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Modeling of ammonia emission in the USA and EU countries using an artificial neural network approach.
Stamenkovic, Lidija J; Antanasijevic, Davor Z; Ristic, Mirjana D; Peric-Grujic, Aleksandra A; Pocajt, Viktor V.
Affiliation
  • Stamenkovic LJ; Faculty of Technology and Metallurgy, University of Belgrade, Karnegijeva 4, 11120, Belgrade, Serbia.
  • Antanasijevic DZ; Innovation Center of the Faculty of Technology and Metallurgy, Karnegijeva 4, 11120, Belgrade, Serbia. dantanasijevic@tmf.bg.ac.rs.
  • Ristic MD; Faculty of Technology and Metallurgy, University of Belgrade, Karnegijeva 4, 11120, Belgrade, Serbia.
  • Peric-Grujic AA; Faculty of Technology and Metallurgy, University of Belgrade, Karnegijeva 4, 11120, Belgrade, Serbia.
  • Pocajt VV; Faculty of Technology and Metallurgy, University of Belgrade, Karnegijeva 4, 11120, Belgrade, Serbia.
Environ Sci Pollut Res Int ; 22(23): 18849-58, 2015 Dec.
Article in En | MEDLINE | ID: mdl-26201663
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Air Pollutants / Ammonia / Models, Theoretical Type of study: Prognostic_studies Limits: Humans Country/Region as subject: America do norte / Europa Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2015 Type: Article
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Air Pollutants / Ammonia / Models, Theoretical Type of study: Prognostic_studies Limits: Humans Country/Region as subject: America do norte / Europa Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2015 Type: Article