Artificial Neural Network for Environmental Air Emissions Prediction Systems

Matei, Danuta; Doicin, Bogdan; Cursaru, Diana; Ezeanu, Dorin Stanica

Danuta Matei, Bogdan Doicin, Diana Cursaru, Dorin Stanica Ezeanu

Artificial Neural Network for Environmental Air Emissions Prediction Systems

Abstract:

Artificial neural network ANN is an appropriate tool for predestining the different relationships across many scientific researches. Air emissions prediction is an effective method of securing public health by revealing the imminent danger of air pollutants. So far, the existing methods of air emissions concentration prediction became useless on long-term dependencies, and most neglect spatial correlations. In this study, an artificial neural network model, which also takes into account the spatial-temporal variable, is proposed for prediction of air emission. The ANN was used in order to take into account the historical data, auxiliary data such as environmental quality and weather conditions. Evaluation of the results revealed that the developed ANN model appears to be an appropriate tool in predicting environmental air emissions. The data were collected from 12 air quality-monitoring stations from a random county in Romania. The proposed model performed well and presented a relative error varies from 0 to 4.7%.

Keywords:
emissions; artificial neural network; air

Issue: 2019, Volume 70, Issue 9

Pages: 3338-3342

Publication date: 2019/10/15

https://doi.org/10.37358/RC.19.9.7545

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This article is published under the Creative Commons Attribution 4.0 International License

Citation Styles

Cite this article as:
MATEI, D., DOICIN, B., CURSARU, D., EZEANU, D.S., Artificial Neural Network for Environmental Air Emissions Prediction Systems, Rev. Chim., 70(9), 2019, 3338-3342.

Vancouver
Matei D, Doicin B, Cursaru D, Ezeanu DS. Artificial Neural Network for Environmental Air Emissions Prediction Systems. Rev. Chim.[internet]. 2019 Sep;70(9):3338-3342. Available from: https://doi.org/10.37358/RC.19.9.7545

APA 6th edition
Matei, D., Doicin, B., Cursaru, D. & Ezeanu, D.S. (2019). Artificial Neural Network for Environmental Air Emissions Prediction Systems. Revista de Chimie, 70(9), 3338-3342. https://doi.org/10.37358/RC.19.9.7545

Harvard
Matei, D., Doicin, B., Cursaru, D., Ezeanu, D.S. (2019). 'Artificial Neural Network for Environmental Air Emissions Prediction Systems', Revista de Chimie, 70(9), pp. 3338-3342. https://doi.org/10.37358/RC.19.9.7545

IEEE
D. Matei, B. Doicin, D. Cursaru, D.S. Ezeanu, "Artificial Neural Network for Environmental Air Emissions Prediction Systems". Revista de Chimie, vol. 70, no. 9, pp. 3338-3342, 2019. [online]. https://doi.org/10.37358/RC.19.9.7545

Text
Danuta Matei, Bogdan Doicin, Diana Cursaru, Dorin Stanica Ezeanu,
Artificial Neural Network for Environmental Air Emissions Prediction Systems,
Revista de Chimie,
Volume 70, Issue 9,
2019,
Pages 3338-3342,
ISSN 2668-8212,
https://doi.org/10.37358/RC.19.9.7545.
(https://revistadechimie.ro/Articles.asp?ID=7545)
Keywords: emissions; artificial neural network; air

RIS
TY - JOUR
T1 - Artificial Neural Network for Environmental Air Emissions Prediction Systems
A1 - Matei, Danuta
A2 - Doicin, Bogdan
A3 - Cursaru, Diana
A4 - Ezeanu, Dorin Stanica
JF - Revista de Chimie
JO - Rev. Chim.
PB - Revista de Chimie SRL
SN - 2668-8212
Y1 - 2019
VL - 70
IS - 9
SP - 3338
EP - 3342
UR - https://doi.org/10.37358/RC.19.9.7545
KW - emissions
KW - artificial neural network
KW - air
ER -

BibTex
@article{RevCh2019P3338,
author = {Matei Danuta and Doicin Bogdan and Cursaru Diana and Ezeanu Dorin Stanica},
title = {Artificial Neural Network for Environmental Air Emissions Prediction Systems},
journal = {Revista de Chimie},
volume = {70},
number = {9},
pages = {3338-3342},
year = {2019},
issn = {2668-8212},
doi = {https://doi.org/10.37358/RC.19.9.7545},
url = {https://revistadechimie.ro/Articles.asp?ID=7545}
}

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