Published in: مجله هوش مصنوعی و داده کاوی، دوره: 4، شماره: 1
COI code: JR_JADM-4-1_006
Paper Language: English
How to Download This Paper
For Downloading the Fulltext of CIVILICA papers please visit the orginal Persian Section of website.
Authors Predicting air pollution in Tehran: Genetic algorithm and back propagation neural networkM. Asghari - Department of Computer Engineering, Sari Branch, Islamic Azad University, Sari, Iran
H. Nematzadeh - Department of Computer Engineering, Sari Branch, Islamic Azad University, Sari, Iran
Abstract: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 predict the air pollution in Tehran based on particulate matter less than 10 microns (PM10), and the information and data of Aghdasiyeh Weather Quality Control Station and Mehrabad Weather Station from 2007 to 2013. Generally, 11 inputs have been inserted to the model, to predict the daily concentration of PM10. For this purpose, Artificial Neural Network with Back Propagation (BP) with a middle layer and sigmoid activation function and its hybrid with Genetic Algorithm (BP-GA) were used and ultimately the performance of the proposed method was compared with basic Artificial Neural Networks along with (BP) Based on the criteria of - R2-, RMSE and MAE. The finding shows that BP-GA has higher accuracy and performance. In addition, it was also found that the results are more accurate for shorter time periods and this is because the large fluctuation of data in long-term returns negative effect on network performance. Also, unregistered data have negative effect on predictions. Microsoft Excel and Matlab 2013 conducted the simulations.
Keywords:Artificial Neural Networks, Genetic Algorithm, air pollution, PM10
COI code: JR_JADM-4-1_006
how to cite to this paper:If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Asghari, M. & H. Nematzadeh, 2016, Predicting air pollution in Tehran: Genetic algorithm and back propagation neural network, Journal of Artificial Intelligence & Data Mining 4 (1), https://www.civilica.com/Paper-JR_JADM-JR_JADM-4-1_006.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Asghari, M. & H. Nematzadeh, 2016)
Second and more: (Asghari & Nematzadeh, 2016)
For a complete overview of how to citation please review the following CIVILICA Guide (Citation)
The University/Research Center Information:
Type: Azad University
Paper No.: 3721
in University Ranking and Scientometrics the Iranian universities and research centers are evaluated based on scientific papers.
Research Info Management
Export Citation info of this paper to research management softwares
New Related Papers
- A Review of Neck Circumference As a Potent Anthropometric Predictor of Cardiovascular Disease and Metabolic Syndrome
- The effect of cooperative learning on the decreased aggressiveness and impulsiveness of girl students at second grade of high school in the city Shabestar
- Assessing the status of organizational citizenship behavior of Qarz Al-Hasaneh Mehr Iran Bank employees in Tehran province
- The Effect of Iranian-Western Relations in the Qajar Dynasty on Iranian Hand-Made Carpets
- C- Means Clustering for Anti Money Laundering using Client Profiling
The Above articles are recently indexed in the related subjects
Iran Scientific Advertisment Netword
Share this paper
WHAT IS COI?
COI is a national code dedicated to all Iranian Conference and Journal Papers. the COI of each paper can be verified online.