DESIGNING A UNIVERSAL DIGITAL TWIN OF AN OBJECT BASED ON A HYBRID NEURO-FUZZY COMPUTER

Syryamkin V.I. Gorbachev S.V. Klestov S.A. Abramova T.V. Uvarov N.A. Gutsal V.A. Mehtiev A.D. Serikov T.G. Manankova O.A. Utegenova A.S.
31 May 2023 Little Lion Scientific

Journal of Theoretical and Applied Information Technology
2023 #101 Issue 10 3909 - 3922 pp.

Designing a universal digital twin of an object based on a hybrid neuro-fuzzy computer is a topic that has been widely studied in recent years as it provides many benefits such as improving performance, reducing downtime, and increasing efficiency. This paper presents a method for creating a hybrid computational neuro-fuzzy double of an object. The goal is to create a digital twin of the object that can be used for monitoring, simulation, and prediction of the objects performance, while also utilizing the strengths of both neuro-fuzzy computation to improve the accuracy and robustness of the digital twin. The proposed method shows potential for improving the performance and efficiency of physical objects. In the paper, the proposed method forms an electronic model - a digital double of the synthesized object. The proposed calculator is superior to a similar one in several advantages.

A Hybrid Neuro-Fuzzy Calculator , Computer-Aided Design System , Digital Twin , Neural Network Algorithms , Neuro-Fuzzy Computer , Simulation

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National Research Tomsk State University, Tomsk, Russian Federation
Nosov Magnitogorsk State Technical University, Magnitogorsk, Russian Federation
Kazakh Agrotechnical University named after S.Seifullina, Nur-Sultan, Kazakhstan
Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeyev, Almaty, Kazakhstan
Karagandy Buketov University, Karaganda, Kazakhstan

National Research Tomsk State University
Nosov Magnitogorsk State Technical University
Kazakh Agrotechnical University named after S.Seifullina
Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeyev
Karagandy Buketov University

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