Implementing Spectral Decomposition of Time Series Data in Artificial Neural Networks to Predict Air Pollutant Concentrations
Author:
Affiliation:
1. Department of Civil Engineering, Sharif University of Technology, Tehran, Iran.
Publisher
Mary Ann Liebert Inc
Subject
Pollution,Waste Management and Disposal,Environmental Chemistry
Link
http://www.liebertpub.com/doi/pdf/10.1089/ees.2014.0350
Reference35 articles.
1. Predicting hourly air pollutant levels using artificial neural networks coupled with uncertainty analysis by Monte Carlo simulations
2. Projecting emission reductions from prospective mobile sources policies by road link-based modelling
3. A neural network-based method for short-term predictions of ambient SO2 concentrations in highly polluted industrial areas of complex terrain
4. Two-days ahead prediction of daily maximum concentrations of SO2, O3, PM10, NO2, CO in the urban area of Palermo, Italy
5. Neuro-fuzzy and neural network systems for air quality control
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