Title :
Ensemble of neural predictors for forecasting the atmospheric pollution
Author :
Siwek, Krzysztof ; Osowski, Stanislw ; Garanty, K. ; Sowinski, M.
Author_Institution :
Warsaw Univ. of Technol., Warsaw
Abstract :
The paper presents the application of an ensemble of neural predictors for forecasting the daily meteorological PM10 pollution. The support vector machine has been used as the basic predicting network. The bagging technique has been applied to adapt different predictors. The results of many predictors have been combined together to form final forecasting. The blind source separation has been applied as the integration tool. The results of forecasting of the real pollution measured in the northern region of Poland have been presented and discussed.
Keywords :
air pollution; blind source separation; forecasting theory; meteorology; neural nets; support vector machines; atmospheric pollution forecasting; bagging technique; blind source separation; meteorology; neural predicting network ensemble; support vector machine; Air pollution; Atmospheric measurements; Bagging; Blind source separation; Cities and towns; Meteorology; Pollution measurement; Support vector machines; Weather forecasting; Wind forecasting;
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2008.4633862
