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• W19736502 abstract "In this paper we present results from prediction of data for ozone (O 3) concentrations in ambient air by using the modelling techniques of support vector ma chines (SVM) and radial basis neural networks (RBF NN). The predictions are performed for two sho rt periods of time: for 24 hours and for one week in August and in December in 2005, in Skopje, Maced onia. The built SVM models use different kinds of kernels: polynomial and Gaussian kernels and the be st values of the free parameters of SVM kernels are chosen by examining a range of values for each of t he free parameters. This is the first attempt in Macedonia for prediction of concentrations of any a ir parameters in the ambient air. Povzetek: Podana je analiza ravni ozona v Makedonij i z metodami strojnega ucenja." @default.
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• W19736502 date "2007-01-01" @default.
• W19736502 modified "2023-09-26" @default.
• W19736502 title "Prediction of Missing Data for Ozone Concentrations using Support Vector Machines and Radial Basis Neural Networks" @default.
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