Predicting air pollution in Tehran: Genetic algorithm and back propagation neural network
Suspended particles have deleterious effects on human health and one of the reasons why Tehran is effected is its geographically location of air pollution. One of the most important ways to reduce air pollution is to predict the concentration of pollutants. This paper proposed a hybrid method to pre...
Main Authors: | M. Asghari, H. Nematzadeh |
---|---|
Format: | Article |
Language: | English |
Published: |
Shahrood University of Technology
2016-01-01
|
Series: | Journal of Artificial Intelligence and Data Mining |
Subjects: | |
Online Access: | http://jad.shahroodut.ac.ir/article_560_f1de11875bc661841af152fd207b422b.pdf |
Similar Items
-
Poznań Air Pollution Analysis for 2015-2017
by: Anna Smurzyńska, et al.
Published: (2018-11-01) -
Models of Air Pollution Propagation in the Selected Region of Katowice
by: Dariusz Foszcz, et al.
Published: (2021-05-01) -
Seasonal Variations of Atmospheric Pollution and Air Quality in Beijing
by: Wei Chen, et al.
Published: (2015-11-01) -
Air pollution and hospital admission in patients with chronic obstructive pulmonary disease in Tehran, Iran
by: Hasan Amiri, et al.
Published: (2016-07-01) -
Air quality classification and its temporal trend in Tehran, Iran, 2002-2012
by: Raheleh Saniei, et al.
Published: (2016-05-01)