DocumentCode
3496950
Title
Forecasting tropospheric ozone concentrations with adaptive neural networks
Author
Taormina, R. ; Mesin, L. ; Orione, F. ; Pasero, E.
Author_Institution
Dept. of Civil & Struct. Eng., Hong Kong Polytech. Univ., Hong Kong, China
fYear
2011
fDate
July 31 2011-Aug. 5 2011
Firstpage
1857
Lastpage
1863
Abstract
The issue of air quality is now a major concern for many citizens worldwide. Local air quality forecasting can be made on the basis of meteorological variables and air pollutants concentration time series. We propose an adaptive filter technique based on an artificial neural network (ANN) to make 24-hours maximal daily ozone-concentrations forecasts.
Keywords
air pollution; environmental science computing; neural nets; adaptive filter technique; adaptive neural networks; air pollutants concentration time series; air quality forecasting; artificial neural network; meteorological variable; ozone-concentration forecast; tropospheric ozone concentration forecasting; Air pollution; Artificial neural networks; Atmospheric modeling; Data models; Neurons; Time series analysis; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), The 2011 International Joint Conference on
Conference_Location
San Jose, CA
ISSN
2161-4393
Print_ISBN
978-1-4244-9635-8
Type
conf
DOI
10.1109/IJCNN.2011.6033450
Filename
6033450
Link To Document