Control and prediction of floods on the territory of the Krasnoyarsk kray through the use of neural network algorithms
Grebnev Y.V.1,Yarovoy A.V.2,3 1FSAEI HE Siberian Federal University, Institute of space and information technology 2Chief Directorate of the Emercom of Russia for the Krasnoyarsk Territory 3FSBEE HE Siberian Fire and Rescue Academy EMERCOM of Russia The paper presents preliminary results of the investigation of the possibility of using neural network algorithms for forecasting natural emergency situations. Natural emergencies are natural forest fires and floods. In work the basic principles of forecasting of emergency situations of natural character with use of neural networks are disassembled. A forecasting model has been developed and an efficiency estimate has been made for application within the framework of the executive authorities in the constituent entities of the Russian Federation. More » // Citation link for this article Citation link for this article Close link… Copy to clipboard
Increase of efficiency of radiation monitoring of closed administrative territorial formation with objects of nuclear industry and adjacent territories
Sergeev I.Y., Ph.D. of Engineering Sciences FSBEE HE Siberian Fire and Rescue Academy EMERCOM of Russia The article is devoted to the rational choice of radiation monitoring systems necessary to increase the efficiency of monitoring and radiation monitoring. As well as tasks and possible research directions. More » // Citation link for this article Ссылка для цитирования статьи Закрыть link… Скопировать в буфер
