PREDICTING AIR QUALITY INDEX BASED ON METEOROLOGICAL DATA: A COMPARISON OF REGRESSION ANALYSIS, ARTIFICIAL NEURAL NETWORKS AND DECISION TREE

PREDICTING AIR QUALITY INDEX BASED ON METEOROLOGICAL DATA: A COMPARISON OF REGRESSION ANALYSIS, ARTIFICIAL NEURAL NETWORKS AND DECISION TREE

Introduction: Air pollution can cause health problems on a global scale. Air quality predicting is an effective method to protect public health through early notification hazards of air pollution. The aim of this study is forecasting next day air quality index (AQI) in Tehran, Iran. Materials and me...

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Bibliographic Details
Main Authors: Akram Jamal, Ramin Nabizadeh Nodehi
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2017-11-01
Series:Journal of Air Pollution and Health
Subjects:
Air quality index
artificial neural network
decision Tree
Online Access:https://japh.tums.ac.ir/index.php/japh/article/view/90

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