Abstract: | The subject of this this paper is the prediction of future position of the aircraft based on radar data. The thesis consists of theoretical and practical part. A method used for the prediction, i.e. method of machine learning – probabilistic neural network based on Parzen estimate, is explained in the theoretical part. In the practical part a predictor is implemented, which is able to determine the time of landing in Prague and the time to approach significant points of the Czech Republic. The implementation and the preparation of the data is documented. The functionality of the program is verified at the end. It is shown which data are needed for the prediction and that the chosen method is suitable for this application.
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