Forecasting of emergency situations in the Far North of the Krasnoyarsk territory caused by forest and landscape fires using neural network algorithms

The paper presents the results of a study of the possibility of predicting natural emergencies in the Far North of the Krasnoyarsk territory using neural network algorithms. The algorithm of fire forecasting using neural networks is analyzed. The model of forecasting is developed and the assessment of efficiency of application and recommendations for application of model by Executive authorities in subjects of the Russian Federation is made

Keywords: forecasting, neural networks, emergencies, emergency monitoring

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