Prediction of the Level of Air Pollution Using Principal Component Analysis and Artificial Neural Network Techniques: a Case Study in Malaysia
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Title
Prediction of the Level of Air Pollution Using Principal Component Analysis and Artificial Neural Network Techniques: a Case Study in Malaysia
Authors
Keywords
Environmetric, Pattern recognition, Principal component analysis, Artificial neural network
Journal
WATER AIR AND SOIL POLLUTION
Volume 225, Issue 8, Pages -
Publisher
Springer Nature
Online
2014-07-20
DOI
10.1007/s11270-014-2063-1
References
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