Modelling tropospheric ozone variations using artificial neural networks: A case study on the Black Sea coast (Russian Federation)

Author:

Makarova Аnna,Evstaf'eva Elena,Lapchenco Vladimir,Varbanov Petar Sabev

Publisher

Elsevier BV

Subject

Plant Science,Forestry

Reference55 articles.

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2. Air quality forecasting using artificial neural networks with real time dynamic error correction in highly polluted regions;Agarwal;Sci. Total Environ.,2020

3. Multi hours ahead prediction of surface ozone gas concentration: robust artificial intelligence approach;AlOmar;Atmospheric Pollution Research,2020

4. Health risks of ozone from long-range transboundary air pollution;Amann;WHO Report,2008

5. Ambient Ozone Monitor,2020

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1. A new feature selection algorithm based on fuzzy-pathfinder optimization;Neural Computing and Applications;2024-07-01

2. Comparison of Machine Learning and Deep Learning Methods for Modeling Ozone Concentrations;Journal of Intelligent Systems: Theory and Applications;2022-09-01

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