FORECAST LEVEL OF ECONOMIC SECURITY AND ITS COMPONENTS FOR THE SUGAR INDUSTRY IN UKRAINE

Scientific results of work on the creation and forming of the neural network to prognosticate the level of economic security of the Ukrainian sugar industry are presented in this article. Comparison of prognosticated data for the level of economic security with the help of a linear algorithm and the method of artificial neural networks is conducted by the author. Author proved that the use of forecasting methods based on the artificial neural networks construction, is actual for the sectoral economic security forecasting, as it allows reducing forecast error to a minimum. The use of artificial neural networks makes forecasting system more flexible and allows adding it with fuzzy inputs.