When Is ''Nearest Neighbor'' Meaningful?
ICDT '99 Proceedings of the 7th International Conference on Database Theory
PM2.5 concentration prediction using hidden semi-Markov model-based times series data mining
Expert Systems with Applications: An International Journal
PM-10 Forecasting Using Neural Networks Model
CIMCA '08 Proceedings of the 2008 International Conference on Computational Intelligence for Modelling Control & Automation
An application of machine learning methods to PM10Level medium-term prediction
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
Expert Systems with Applications: An International Journal
Visualization of multidimensional data in explorative forecast
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Expert Systems with Applications: An International Journal
Generalized dynamical fuzzy model for identification and prediction
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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In the paper a model to predict the concentrations of particulate matter PM10, PM2.5, SO"2, NO, CO and O"3 for a chosen number of hours forward is proposed. The method requires historical data for a large number of points in time, particularly weather forecast data, actual weather data and pollution data. The idea is that by matching forecast data with similar forecast data in the historical data set it is possible then to obtain actual weather data and through this pollution data. To aggregate time points with similar forecast data determined by a distance function, fuzzy numbers are generated from the forecast data, covering forecast data and actual data. Again using a distance function, actual data is compared with the fuzzy number to determine how the grade of membership is. The model was prepared in such a way that all the data which is usually imprecise, chaotic, uncertain can be used. The model is used in Poland by the Institute of Meteorology and by Water Management, and by the Voivodship Inspector for Environmental Protection. It forecast selected pollution concentrations for all areas of Poland.