论文信息 - Ensemble of neural predictors for forecasting the atmospheric pollution

Ensemble of neural predictors for forecasting the atmospheric pollution

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.

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