Artificial neural network model for predicting air pollution. Case study of the Moravica district, Serbia

• Autorzy: Blagojević M. , Papić M. , Vujičić M. , Šućurović M.

Identyfikatory

DOI

10.5277/epe180110

• Języki publikacji: EN

Abstrakty

EN

An example of artificial neural network model for predicting air pollution has been presented. The research was conducted in Serbia, the Moravica District, on the territory of two municipalities (LuCani and Ivanjica) and the town Čačak. The level of air pollution was classified by a neural network model according to the input data: municipality, site, year, levels of soot, sulfur dioxide (SO₂), nitrogen dioxide (NO₂) and particulate matter. The model was evaluated using a lift chart and a root mean square error (RMSE) has been determined, whose value was 0.0635. A multilayer perceptron has also been created and trained with a back propagation algorithm. The neural network was tested with the data mining extensions (DMX) queries. The results have been obtained for air pollution based on new input data that can be used to predict the level of pollution in future if new measurements are carried out. A web-based application was designed for displaying the results.

Słowa kluczowe

EN

air pollution; neural network; Serbia; data processing

PL

zanieczyszczenie powietrza; sieć neutronowa; Serbia; przetwarzanie danych

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Environment Protection Engineering
• Rocznik: 2018
• Tom: Vol. 44, nr 1
• Strony: 129--139
• Opis fizyczny: Bibliogr. 24 poz., tab., rys.

Twórcy

autor

Blagojević M.

• Faculty of Technical Sciences Čačak, University of Kragujevac, Svetog Save 65, Čačak; 32000, Serbia

autor

Papić M.

• Faculty of Technical Sciences Čačak, University of Kragujevac, Svetog Save 65, Čačak; 32000, Serbia

autor

Vujičić M.

• Faculty of Technical Sciences Čačak, University of Kragujevac, Svetog Save 65, Čačak; 32000, Serbia

autor

Šućurović M.

• Faculty of Technical Sciences Čačak, University of Kragujevac, Svetog Save 65, Čačak; 32000, Serbia

Bibliografia

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).