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Fuzzy Control Model to Determine the Score in Virtual Reality-Based Appendectomy Practices
Vega A.V., Madrigal O.C., Kugurakova V.
Virtual Reality simulators allow surgical training in a safe and controlled environment. Through
Using fuzzy models in machining control system and assessment of sustainability
Grinek, A. V., Boychuk, I. P., Dantsevich, I. M.
Grinek A.V. Using fuzzy models in machining control system and assessment of sustainability / A. V
A structure approach for a photovoltaic station control based on adaptive fuzzy agent
Elzein, Imad A., Petrenko, Y. N.
this problem, many maximum power point tracking (MPPT) control algorithms have been presented. Fuzzy logic (FL
Hybrid neural network for the adjustment of fuzzy systems when simulating tests of internal combustion engines
Zubkov E., Galiullin L.
The use of a hybrid neural network for automatic formulation of fuzzy control rules is considered
A study of Maximum Power Point Tracking Algorithm for Photovoltaic systems using a Fuzzy Logic controller
Elzein, Imad A.
A study of Maximum Power Point Tracking Algorithm for Photovoltaic systems using a Fuzzy Logic
Fuzzy logic controller implementation for photovoltaic station
Elzein, Imad A., Petrenko, Y. N.
Fuzzy logic controller implementation for photovoltaic station
ПОВЫШЕНИЕ ТОЧНОСТИ НЕЧЕТКИХ АЛГОРИТМОВ УПРАВЛЕНИЯ ПОВЕДЕНИЕМ АВТОНОМНОГО БЕСПИЛОТНОГО ЛЕТАТЕЛЬНОГО АППАРАТА В УСЛОВИЯХ НЕОПРЕДЕЛЕННОСТИ
Мелехин В.Б., Хачумов М.В.
, in which it is advisable to use fuzzy algorithms for controlling the flight of an autonomous unmanned aerial
Application of fuzzy logic methods to modeling of the process of controlling complex technical systems
Beckel, L. S., Semenenko, M. G., Tsarev, R. Y., Yamskikh, T. N., Knyazkov, A. N., Pupkov, A. N.
In recent decades, the concept of "fuzzy" control has emerged in engineering practice, including
Modeling of catastrophe prediction based on fuzzy reasoning in intelligent agriculture
Yu F., Liao G., Li R.
of intelligence agriculture and also the guarantee for preventing and controlling the pest catastrophe occurrence
Abnormal condition identification modeling based on fuzzy Bayesian network and transfer learning
Li, Hui
The abnormal condition identification model is established based on the fuzzy Bayesian network

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