WIT Press


Adaptive System Of Forecasting The Air Quality

Price

Free (open access)

Paper DOI

10.2495/RAV090181

Volume

127

Pages

6

Page Range

213 - 218

Published

2009

Size

429 kb

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