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Bobyr Maksim Vladimirovich
Professor
Doctor of technical sciences


Birth date: 8.01.1978
Keywords: fuzzy logic, adaptive neural fuzzy inference systems, fuzzy algebra, fuzzy set, intuitionistic fuzzy set, neuro-fuzzy control; neuro-fuzzy systems, artificial intelligence and fuzzy logic, artificial intelligence and robotics, soft computing and applications (neural networks, evolutionary computing, metaheuristics, etc)

Subject:

Adaptive neuro-fuzzy inference system


Main publications:
  1. Bobyr, M.V., Emelyanov, S.G., “A nonlinear method of learning neuro-fuzzy models for dynamic control systems”, Applied Soft Computing, 2020, no. 88, 106030
  2. Bobyr M.V., Milostnaya N.A., Kulabuhov S.A., “A method of defuzzification based on the approach of areas ratio”, Applied Soft Computing, 59 (2017), 19-32
  3. Bobyr, M.V., Yakushev, A.S., Dorodnykh, A.A., “Fuzzy devices for cooling the cutting tool of the CNC machine implemented on FPGA”, Measurement: Journal of the International Measurement Confederation, 2020, no. 152, 107378
  4. Bobyr M.V., Obuchenie neiro-nechetkikh sistem, monografiya, ARGAMAK-MEDIA, Moskva, 2018, 240 ñ.
  5. M.V. Bobyr, A.E. Arkhipov, N.A. Milostnaya, “Metod rascheta karty glubin na osnove myagkikh operatorov”, Sistemy i sredstva informatiki, 29:2 (2019), 71-84

Publications in Math-Net.Ru

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