Prediction of the Level of Air Pollution Using Principal Component Analysis and Artificial Neural Network Techniques: a Case Study in Malaysia

• Main Authors: Azman, Azid, Hafizan, Juahir, Mohd Ekhwan, Toriman
• Format: Article
• Language: English; English
• Published: 2014
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.unisza.edu.my/5419/1/FH02-ESERI-14-00902.jpg; http://eprints.unisza.edu.my/5419/2/FH02-ESERI-14-02273.jpg; http://eprints.unisza.edu.my/5419/

This study focused on the pattern recognition of Malaysian air quality based on the data obtained from the Malaysian Department of Environment (DOE). Eight air quality parameters in ten monitoring stations in Malaysia for 7 years (2005–2011) were gathered. Principal component analysis (PCA) in the e...