Tula, Tula, Russian Federation
Tula, Russian Federation
Methodological approaches to the analysis of the effectiveness of complex human-machine systems (SMS) based on the use of methods of heuristic self-organization and artificial neural networks are considered. Modeling of the system taking into account a large number of factors and several output variables that characterize the MFM is based on obtaining multilayer perceptrons with the exception of factors with low sensitivity
modeling, complex systems, "human-machine system", ergatic system efficiency, artificial neural network, multilayer perceptrons, individual characteristics of operators
1. Gubinskiy A.I. Nadezhnost' i kachestvo funkcionirovaniya ergaticheskih sistem. L.: Nauka, 1982. 270 s.
2. Dmitrieva M.A., Krylov A.A., Naftul'ev A.I. Psihologiya truda i inzhenernaya psihologiya / Pod red. A.A. Krylova. L.: LGU, 1979. 224s
3. Marischuk V.L., Kuznecov R.V. Izmenenie nekotoryh psihologicheskih pokazateley v usloviyah sil'nogo utomleniya // Voprosy psihologii. 1973. № 1. S.118-123.
4. Logvinov S.I., Logvinov S.S., Lapin A.V., Pokrovskiy Yu.Yu. Ocenka nadezhnosti ergaticheskogo elementa v slozhnoy sisteme, funkcioniruyuschey v ekstremal'nyh usloviyah // Izvestiya Tul GU. Tehnicheskie nauki. 2011. Vyp. 1. S. 244-251
5. Shibanov G.P. Kolichestvennaya ocenka deyatel'nosti cheloveka v sistemah chelovek-tehnika. M.: Mashinostroenie, 1983. 263 s.
6. Ivahnenko A.G., Stepashko V.S. Pomehoustoychivost' modelirovaniya. Kiev: «Naukova dumka», 1985. 216 s.
7. Logvinov S.I., Logvinov S.S. Problemy ocenki effektivnosti rabochih sistem s uchetom ergaticheskogo elementa // Nauchnaya konferenciya nauchno-pedagogicheskih rabotnikov, aspirantov, magistrantov TGPU im. L.N. Tolstogo «Universitet XXI veka: nauchnoe izmerenie». 14-29 iyunya 2018 g. S. 288-291
8. Neyronnye seti. STATISTICA Neural Networks: Per. s angl. M.: Goryachaya liniya. Telekom, 2000. S. 182.
9. Eliseev O.P. Praktikum po psihologii lichnosti. SPb: Piter, 2002. 512 s.
10. Logvinov S.I., Logvinov S.S., Savina I.V. Ocenka i prognoz effektivnosti rabochey sistemy pri vypolnenii algoritmov raboty so sredstvami otobrazheniya informacii // Nauchnye issledovaniya i razrabotki. Ekonomika. 2016. № 4. S. 16-20.
11. Logvinov S.S., Logvinov S.I., Kotorov S.V., Akinshin R.N., Tuzhikov E.Z. Primenenie iskusstvennyh neyronnyh setey dlya ocenki adaptivnosti operatorov pri rabote na trenazherah protivotankovyh raketnyh kompleksov // Strategicheskaya stabil'nost'. 2019. № 2 (87). S. 15-19.
