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  5. NEURAL NETWORK FORECASTING OF DEPENDENCE OF LEVEL TECHNOGENIC DANGER OF REGIONS OF UKRAINE FROM ACTIVITY CONDITIONS

NEURAL NETWORK FORECASTING OF DEPENDENCE OF LEVEL TECHNOGENIC DANGER OF REGIONS OF UKRAINE FROM ACTIVITY CONDITIONS

V.V. Tiutiunik
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Results of the modeling which is carried out on the basis of neural network technologies, conditions of activity of regions of Ukraine on the main indicators of daily functioning and manifestation of technogenic danger are presented. Output indicators of these models are number of emergence of emergency situations, the fires in the technogenic and social environment and road accidents in the territory of Ukraine.
Keywords: emergency situation, fire, road accident, neural network modeling, activity conditions, level of technogenic dange