Modelling air pollution time-series by using wavelet functions and genetic algorithms

Soft Computing

Volumn 8, Issue 3, 2004, Pages 173-178

  Nunnari, G ^a  

^a UNIVERSITY OF CATANIA   (Italy)

Author keywords

Air pollution; Genetic algorithms; Neural networks; Time series; Wavelets

Indexed keywords

EID: 25844526645     PISSN: 14327643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00500-002-0260-0     Document Type: Article

References (12)

1. Arena P, Baglio S, Castorina C, Fortuna L, Nunnari G (1996) A neural architecture to predict pollution in industrial areas. Proc. ICNN, vol. 4, pp. 2107-2112, Washington
2. Benveniste A, Juditsky A, Delion B, Zhang Q, Glorennec PY (1994) Wavelets in identification. Proc. IFAC Symposium on System Identification SYSIS '94, vol. 2, pp. 27-48
3. 2 concentrations in highly polluted industrial areas of complex terrain, Atmospheric Environ 27B: 221-230
4. Fortuna L, Rizzotto G, Lavorgna M, Nunnari G, Xibilia MG, Caponetto R (2001) Soft Computing - new trends and applications, Springer Verlag, London
5. Goldberg DE (1989) Genetic algorithm in search, optimization and machine learning. Addison Wesley, Boston, MA
6. Holland JH (1975) Adaptation in natural and artificial system. University of Michigan Press
7. Mallat S (1999) A wavelet tour of signal processing, 2nd edn. Academic Press, New York
8. Nunnari G, Nucifora A, Randieri C (1998) The application of neural techniques to the modelling of time series of atmospheric pollution data. Ecological Modelling 111: 187-205
9. Rying EA, Bilbro GL, Lu J (2002) Focused local learning with wavelt neural networks, IEEE Trans Neural Networks 13(2): 304-316
10. Vose MD (1999) The simple genetic algorithm - foundation and theory. MIT press
11. Van Aalst RM, De Leeuw FA (1997) National ozone forecasting system and international data exchange in northwest europe, European Topic Centre on Air Quality
12. Zhang Q (1997) Using wavelet network in non parametric estimation, IEEE Trans Neural Networks 8: 227-236