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Scientific-technical journal

Abstract

The article discusses the theoretical principles of information processing in a multidimensional space based on neural network technology using multilayer perceptrons.

First Page

34

Last Page

40

References

[1]. O.O.Zaripov, U.Sh.Khamrakulov, "The Models Of Changing And Giving Information In Integrated Informational-Analytical Systems", IJIERT - International Journal of Innovations in Engineering Research and Technology, ISTC-2K20, no. 63-66.

[2]. I.Kh.Siddikov, U.Sh.Khamrakulov, S.B.Sadikov, “The Problems Of Integration Of The Systems Of Distrusted Heterogeneous Data In The Basis Of Layered Radial Basis Adaptive Neuron Networks”, JCR. no. 7(14), pp. 220-224, 2020. https://doi:10.31838/jcr.07.14.38.

[3]. Zaripov, Orifjon Olimovich; Hamrakulov, Umidjon Sharabidinovich; and Isxakova, Fatima Faxritdinovna (2021) "PRINCIPLES OF ELIMINATING THE IMPACT OF DISTURBANCES ON INTEGRATED INFORMATION AND ANALYTICAL SYSTEMS," Chemical Technology, Control and Management: Vol. 2021 : Iss. 2 , Article 13.

DOI: https://doi.org/10.51346/tstu-02.21.1-77-0013,

Available at: https://uzjournals.edu.uz/ijctcm/vol2021/iss2/13.

[4]. H.Z.Igamberdiyev, A.N.Yusupbekov, O.O.Zaripov, J.U.Sevinov, “Algorithms of adaptive identification of uncertain operated objects in dynamical models”, Procedia Comput. Sci., no.120, pp. 854–861, 2017. https://doi.org/10.1016/j.procs.2017.11.318.

[5]. N.R.Yusupbekov, S.M.Gulyamov, M.Y.Doshchanova, “Neural identification of a dynamic model of a technological process”, International Conference on Information Science and Communications Technologies: Applications, Trends and Opportunities, ICISCT, 2019.

[6]. N.Yusupbekov, H.Igamberdiev, U.Mamirov, “Algorithms of sustainable estimation of unknown input signals in control systems”, Journal of Multiple-Valued Logic and Soft Computing, no. 33(1-2), pp. 1–10, 2019.

[7]. N.R.Yusupbekov, F.R.Abdurasulov, F.T.Adilov, A.I.Ivanyan, “Application of cloud technologies for optimization of complex processes of industrial enterprises”, Advances in Intelligent Systems and Computing, no. 896, pp. 852–858, 2019.

[8]. Zaripov, O. & Khamrakulov, U.. (2021). Industry 4.0 Technologies: Impact on Increasing the Productivity of Industrial Enterprises. 10.1007/978-3-030-68004-6_63.

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