SHS Web of Conf.
Volume 44, 2018IV International Scientific Conference “The Convergence of Digital and Physical Worlds: Technological, Economic and Social Challenges” (CC-TESC2018)
|Number of page(s)||6|
|Published online||05 June 2018|
Mathematical model for the evaluation of risk of emergency situations at a dangerous technical object based on artificial neural networks
1 Peter the Great Saint Petersburg Polytechnic University, 195251 Polytechnicheskaya st.29, Russian Federation
2 St. Petersburg State Forest Technical University, 194021 Institutskij pereulok 5, Russian Federation
* Corresponding author: firstname.lastname@example.org
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.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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