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  • 标题:Mathematical model for the evaluation of risk of emergency situations at a dangerous technical object based on artificial neural networks
  • 本地全文:下载
  • 作者:Nikolay Peganov ; Aleksandr Tumanov ; Vladimir Tumanov
  • 期刊名称:SHS Web of Conferences
  • 印刷版ISSN:2416-5182
  • 电子版ISSN:2261-2424
  • 出版年度:2018
  • 卷号:44
  • 页码:1-6
  • DOI:10.1051/shsconf/20184400069
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:In the work performed adaptation of artificial neural networks in modern security systems potentially dangerous technical objects — high-rise buildings as tools for assessing and forecasting in management decision. The study obtained the main scientific results: the mathematical model of risk assessment of man-made emergencies based on artificial neural networks; the mathematical model, adapted to the cumulative model of development technogene emergency-fire; provided risk assessment technique manmade emergencies based on artificial neural networks; represented private man-made fire risk assessment methodology using artificial neural networks.
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