Adaptive System Of Forecasting The Air Quality
Author(s)
W. Kamiński & E. Tomczak
Abstract
In the study the adaptive system of forecasting pollutant levels has been
proposed. The data for calculations were obtained from an automatic monitoring
station located in a Polish city. The system was presented on the example of the
suspended particulate matter concentration PM10. The proposed method is based
on the application of the neural networks namely RBF type which evolves from
the data set compiled for the period of a few months. The range of concentrations
is divided into five classes of air quality. On the basis of this model one may
forecast the level of pollution a few days ahead.
Keywords: radial basis function, air quality, prediction.
Keywords
radial basis function, air quality, prediction
Related Book
Other papers in this volume
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