Neural Network and Multiple Regression Models for PM10 Prediction in Athens: A Comparative Assessment
Author:
Affiliation:
1. a Chemical Engineering Department , National Technical University of Athens , Athens , Greece
Publisher
Informa UK Limited
Subject
Management, Monitoring, Policy and Law,Waste Management and Disposal
Link
https://www.tandfonline.com/doi/pdf/10.1080/10473289.2003.10466276
Reference6 articles.
1. Schwartz, J.; Dockery, D.W.; Neas, L.M. Is Daily Mortality Associated Specifically with Fine Particles? J. Air & Waste. Manage. Assoc. 1996, 46(10), 927-939.
2. Seinfeld, J.H.; Pandis, S.N. Thermodynamics of Aerosols. In Atmospheric Chemistry and Physics; Wiley: New York, 1998.
3. Perez, P.; Trier, A.; Reyes, J. Prediction of PM2.5 Concentrations Several Hours in Advance Using Neural Networks in Santiago, Chile; Atmos.Environ. 2000, 34, 1189-1196.
4. Chaloulakou, [H9001].; Mavroidis, I. Comparison of Indoor and Outdoor Concentrations of CO at a Public School: Evaluation of an Indoor Air Quality Model; Atmos. Environ. 2002, 36, 1769-1781.
5. Chaloulakou, A.; Kassomenos, P.; Spyrellis, N.; Demokritou, P.; Koutrakis, P. Measurements of PM10 and PM2.5 Particle Concentrations in Athens, Greece; Atmos. Environ. 2003, 37, 649-660.
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