Determination of features for air pollution forecasting models

Proceedings - Intelligent Information Systems, IIS 1997

Volumn , Issue , 1997, Pages 350-354

  Mlakar, P ^a  

^a JO EF STEFAN INSTITUTE   (Slovenia)

Author keywords

feature determination; feature reduction; neural networks; saliency metrics; SO 2 air pollution forecasting

Indexed keywords

AIR POLLUTION; INFORMATION SYSTEMS; INFORMATION USE; NEURAL NETWORKS; THERMOELECTRIC POWER PLANTS;

AIR POLLUTION FORECASTING; COAL FIRED THERMAL POWER PLANTS; ENVIRONMENTAL INFORMATION SYSTEMS; ENVIRONMENTAL LEGISLATIONS; FEATURE DETERMINATION; FEATURE REDUCTION; METEOROLOGICAL PARAMETERS; SALIENCY METRICS;

FORECASTING;

EID: 85032475286     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IIS.1997.645291     Document Type: Conference Paper

References (14)

1. P. Mlakar, M. Boznar, Perceptron Neural Network Based Model Predicts Air Pollution (this conference).
2. M. Lesjak, P. Mlakar, B. Diallo, Z. Rupnik, M. Boznar, Continuous Automatic Monitoring of Air Pollution In The Areas Influenced by the Major Power Plants in Slovenia, International Symposium on Environmental Contamination in Central and Eastern Europe, Budapest, 1993, Proceedings, pp.491-495, (1993).
3. Niemann H. Pattern Analysis and Understanding (second edition), Springer, (1989).
4. Fukunaga, Kv Introduction to Statistical Pattern Recognition, Academic Press, 1972.
5. Pavesic N. Razpoznavanje vzorcev, Zafer, Ljubljana, 1992.
6. Paolo Zannetti, Air Pollution Modeling, Computational Mechanics Publications, (1990).
7. Teuvo Kohonen, Self-Organising Maps, Springer-Verlag, Berlin, (1995).
8. P. Mlakar, M. Boznar, Analysis of winds and S02 concentrations in complex terrain, 4th International Conference on Air pollution, Toulouse, 1996, Air Pollution IV, Monitoring, Simulation & Control/eds. B. Caussadle, H. Power, C. A. Brebbia, Southampton, Boston, Computational Mechanics Publ. pp.455-462, (1996).
9. Devijver, J Kitler: Pattern Recognition: A Statistical Approach, Englewood Cliffs, Prentice-Hall, Inc., (1982).
10. Narendra, P.M., Fukunaga K., A Branch and Bound Algorithm for Feature Subset Selection, IEEE Trans. Comput, vol. 26, pp. 917-922, Sept. 1977.
11. Boznar Marija, Neural Network-Based Method for Short-Term Predictions of Ambient S02 Concentrations, MSc Dissertation, Ljubljana, (1992).
12. D.W. Ruck, S.K. Rogers and M. Kabrisky, Features Selection Using Multilayer Perceptron, Neural Network Comput. 20, pp. 40-48, (1990).
13. NeuroShell 2, Users manual, Ward Systems Group, Inc, Frederick, Maryland (1993).
14. Belue, L. M., Bauer, K. W. Jr., Determing input features for multilayer perceptrons, Neurocomputing, vol. 7, 2, pp.111-121, (1995).