Prediction of PM2.5 Concentrations Using Principal Component Analysis and Artificial Neural Network Techniques: A Case Study: Urmia, Iran
Author:
Affiliation:
1. Civil Engineering Department, School of Engineering, Urmia University, Urmia, Iran.
2. Department of Electrical and Computer Engineering, Urmia University, Urmia, Iran.
Publisher
Mary Ann Liebert Inc
Subject
Pollution,Waste Management and Disposal,Environmental Chemistry
Link
https://www.liebertpub.com/doi/pdf/10.1089/ees.2020.0089
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1. 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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