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Artificial intelligence methods in simulation modeling of multidimensional signals in real-time information and control systems

Rozanov I.   (Bauman Moscow State Technical University)

Sotnikov A.   (Bauman Moscow State Technical University)

The authors reviewed methods of artificial intelligence in the field of simulation modeling, proposed the method for increasing the adequacy of the generic simulation modeling system of multidimensional signals. The method is based on a hybrid artificial intelligence system, that provides targeted search and clustering of input parameters of the simulation system. The result of this method are visualized clusters of input parameters of the model, which allow the formation of recommendations for the selection of different ranges of parameters and adjusting the characteristics of a simulation model of multidimensional signals while ensuring its adequacy

Keywords:simulation modeling, hybrid systems, artificial intelligence, real-time systems.
 

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Citation link:
Rozanov I. , Sotnikov A. Artificial intelligence methods in simulation modeling of multidimensional signals in real-time information and control systems // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2022. -№10/2. -С. 87-92 DOI 10.37882/2223-2966.2022.10-2.23
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