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ALGORITHM FOR IDENTIFYING DYNAMIC OBJECTS BASED ON VECTOR-QUANTIZED TEMPORAL ASSOCIATIVE MEMORY

Field of Science:Engineering (miscellaneous)
National field of science (HAC):01.02.02 — Dynamics and strength of machines, instruments and equipment01.02.03 — Mechanics of soils and rocks01.02.04 — Mechanics of deformable solids01.02.05 — Fluid and gas mechanics01.04.01 — Instruments and methods of experimental physics01.04.04 — Physical electronics01.04.10 — Semiconductor physics04.00.10 — Geotechnology (open-pit, underground and construction)04.00.04 — Hydrogeology and engineering geology04.00.09 — Mine surveying04.00.11 — Well drilling and development technology04.00.12 — Construction and operation of oil and gas pipelines, bases and storage facilities04.00.13 — Development and operation of oil and gas fields04.00.14 — Mineral processing04.00.15 — Technology and engineering of geological exploration04.00.16 — Mining machinery04.00.17 — Physical processes in mining05.01.01 — Engineering geometry and computer graphics. Audio and video technologies05.01.02 — Systems analysis, control and information processing05.01.04 — Mathematical and software support of computers, complexes and computer networks05.01.05 — Information protection methods and systems. Information security05.05.04 — Industrial heat power engineering05.02.03 — Technological machines. Robots, mechatronics and robotic systems05.01.08 — Automation and control of technological processes and productions05.01.10 — Information retrieval systems and processes05.01.11 — Digital technologies and artificial intelligence05.02.02 — Theory of mechanisms and machines. Machine science and machine parts05.02.04 — Standardization and product quality management05.02.05 — Technologies and processes of mechanical and physico-technical machining. Machine tools and equipment05.02.07 — Machines, apparatuses, units and devices of mechanical engineering05.02.06 — Technologies and equipment for processing structural materials05.02.08 — Ground complexes and aircraft05.04.01 — Telecommunication and computer systems, telecommunication networks and devices. Information distribution05.03.02 — Metrology and metrological support05.03.01 — Instruments. Measurement and control methods (by industry)05.05.02 — Electrical engineering. Electric power stations and systems. Electrotechnical complexes and devices05.04.02 — Radio engineering, radionavigation, radiolocation and television systems and devices. Mobile and fiber-optic communication systems05.05.01 — Power systems and complexes05.05.03 — Lighting engineering. Special lighting technologies05.08.03 — Operation of railway transport05.05.08 — Electronics05.05.09 — Nuclear power installations and technologies05.05.10 — Nuclear reactor engineering, machines, units and materials technology of the nuclear industry05.06.01 — Materials science of textile and light industry production05.06.02 — Technology of textile materials and primary processing of raw materials05.06.03 — Technology of leather, fur, footwear and leather haberdashery05.06.04 — Garment technology and costume design05.07.02 — Operation, restoration and repair of agricultural and land-reclamation machinery05.08.01 — Transport systems of the country, its regions, cities and industrial centers. Transport logistics05.08.02 — Railways and track facilities05.08.04 — Navigation and air traffic control05.08.05 — Railway rolling stock, train traction and electrification05.09.01 — Building structures, buildings and constructions05.08.06 — Wheeled and tracked vehicles and their operation05.09.02 — Bases, foundations and underground structures. Bridges and transport tunnels. Roads, metro systems05.09.03 — Heat supply. Ventilation, air conditioning. Gas supply and lighting05.09.04 — Water supply. Sewerage. Construction systems for water body protection05.09.05 — Building materials and products05.10.01 — Occupational safety and human life safety05.10.02 — Safety in emergencies. Fire, industrial, nuclear and radiation safety11.00.06 — Geodesy. Cartography18.00.01 — Theory and history of architecture. Restoration and reconstruction of architectural monuments18.00.02 — Zoning. Urban planning. Planning of rural settlements. Landscape architecture. Architecture of buildings and structures21.01.08 — Armed Forces logistics (including Armed Forces branches, arms of service and special units)21.01.09 — Military command and communication systems21.02.09 — Hydrometeorological and topo-geodetic support of troop combat operations21.02.05 — Engineering equipment of operational (tactical) axes, troop positions and deployment areas, fortification, camouflage21.02.12 — Military cybernetics, systems analysis, operations research, modeling of combat operations and military systems (including Armed Forces branches, arms of service and special units)21.02.25 — Military electronics, military complex equipment21.02.24 — Civil defense. Means and methods of emergency prevention and response01.04.08 — Nuclear and elementary particle physics. Accelerator technology05.05.06 — Power installations based on renewable energy sources04.00.02 — Geology, prospecting and exploration of solid mineral deposits. Metallogeny and geochemistry05.01.06 — Elements and devices of computer engineering and control systems05.02.01 — Materials science in mechanical engineering. Foundry. Thermal treatment and metal forming. Metallurgy of ferrous, non-ferrous and rare metals. Technology of rare, scarce and radioactive elements05.05.05 — Theoretical foundations of thermal engineering05.05.07 — Electrical technologies and electrical equipment in agriculture05.07.01 — Agricultural and land-reclamation machines. Mechanization of agricultural and land-reclamation works05.09.06 — Hydraulic and land-reclamation construction05.09.07 — Hydraulics and engineering hydrology05.09.08 — Construction technology and organization of construction processes21.02.13 — Informatics and computer technologies in military affairs21.02.14 — Armament and military equipment, military complexes and systems (including Armed Forces branches, arms of service and special units)21.02.17 — Operation and restoration of armament and military equipment, technical support (including Armed Forces branches, Armed Forces logistics, arms of service and special units)
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ARTICLE ANNOTATION

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In tasks of identifying relationships between technological parameters of automated control objects, the capabilities of neural networks are used. One of the important problems considered in such identification tasks is the choice of the neural network architecture for the modeled dynamic object. The article discusses the use of a neural network based on vector-quantized temporal associative memory for dynamic object identification. The input and output parameters of neural networks, the identification scheme, and the method for solving the problem of approximating a given function in a self-learning network are presented. A scheme for using a self-learning network for identification and the architecture of the Kohonen network used are presented. An algorithm for training network parameters is written.

AUTHORS

Science ID: FQD-0626-0088

Tags

# of# parameter# model# dynamic# weight# self-learning# network# neural# kohonen# time# point# vector# synaptic# coefficients# winner# neuron# object# identification

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References

Husan Z. Igamberdiyev, Azizbek N.Yusupbekov, Orıpcan O. Zaripov, Jasur U.Sevinov. Algorithms of adaptive identification of uncertain operated objects in dynamical models. 9th International Conference on Theory and Application of Soft Computing, Computing with Words and Perception, ICSCCW 2017, 24-25 August 2017, Budapest, Hungary. Procedia Computer Science 120 (2017) 854–861 pp.

Zaripov O.O., Sevinov J.U., Shukurova O.P. Algorithms for identification of linear dynamic control objects based on the pseudo-concept concept. International Journal of Psychosocial Rehabilitation. Volume 24. Issue 3. 2020. 261-267 pp. DOI: 10.37200/IJPR/V24I3/PR200778

Shukurova O.P. Nochiziqli tizimlarni identifikatsiyalash va boshqarish. O‘zbekiston agrar fani xabarnomasi. № 6 (18) 2024. 214-217 bet.

Saraev P.V. Chislennye metody intervalnogo analiza v obuchenii neyron- nykh setey [Numerical methods of interval analysis in learning neural network]. Autom. Remote Control, 2012, no. 11, pp. 129-143.

Gabitov R.F. Mnogomernoe modelno-prediktornoe upravlenie prokalkoy katalizatorov krekinga, osnovannoe na algoritme s intervalnoy neopredelennostyu [Multivariate model-predictive control calcination cracking catalysts based on an algorithm with interval uncertainty]: abstract thesis of the candidate of technical sciences. Ufa, 2012. 19 pp.

Zaripov O.O., Sevinov J.U., Shukurova O.P. Algorithms for recurrent identification of control objects by means of multiple models and adaptation of parameters. International Journal of Advanced Research In Science, Engineering And Technology. Vol. 6, Issue 3, Mar 2019. pp. 8479-8483.

Shumikhin A.G., Boyarshinova A.S., Orekhov M.S. Primenenie neyro- setevykh modeley pri avtomatizirovannom upravlenii slozhnymi khimiko- tekhnologicheskimi sistemami. Polzunovskiy vest- nik, 2012, no. 3/2, pp. 9-12.

Осовский С. Нейронные сети для обработки информации. – М.: Финансы и статистика, 2002.

Sevinov, J.U., Boborayimov, O.K., Bobomurodov, N.H. (2024). Algorithms for Synthesis of Adaptive Neural Network Control Systems Based on the Velocity Gradient Method. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M., Sadikoglu, F.M. (eds) 16th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools – ICAFS-2023. ICAFS 2023. Lecture Notes in Networks and Systems, vol 1141. Springer, Cham. https://doi.org/10.1007/978-3-031-76283-3_34

Льюнг, Л. Идентификация систем. Теория для пользователя / Л. Льюнг. – М.: Гл. ред. физ.-мат. лит., 1991.

Игамбердиев Х.З., Севинов Ж.У., Зарипов О.О. Регулярные методы и алгоритмы синтеза адаптивных систем управления с настраиваемыми моделями. – Т.: ТашГТУ, 2014. - 160 с. (Igamberdiev H.Z., Sevinov Zh.U., Zaripov O.O. (2014). Reguljarnye metody i algoritmy sinteza adaptivnyh sistem upravlenija s nastraivaemymi modeljami. – T.: TashGTU, – 160 s. (in. Russian)).

T. Koskela. Neural network methods in analyzing and modeling time varying processes. Espoo. (2003), pp. 1-72.

Shukurova, O.P. (2025). Intellektual neyron tarmoqlar matematik modelini qurish algoritmi. Innovatsion texnologiyalar. Ilmiy-texnik jurnal. 2025/4(60). 103-108.

Yusupbekov, A.N., Sevinov, J.U., Mamirov, U.F., Botirov, T.V. (2021). Synthesis Algorithms for Neural Network Regulator of Dynamic System Control. Advances in Intelligent Systems and Computing, vol 1306. pp. 723–730. Springer, Cham. https://doi.org/10.1007/978-3-030-64058-3_90.

Shukurova, O.P., Bekmurodov A.X., Baratov A.K. (2022). Tabiiy gazni absorbsiyali quritish texnologik jarayonnini modellashtirish va boshqarish. Innovatsion texnologiyalar. Ilmiy-texnik jurnal – QMII. Maxsus son. 57-61.

Гайимназаров, И. Х. (2024). НАТУРНЫЕ ИССЛЕДОВАНИЯ ПО ОПРЕДЕЛЕНИЮ РАСХОДА НАНОСОВ В УСЛОВИЯХ НЕСТАЦИОНАРНОГО ТЕЧЕНИЯ. Oriental renaissance: Innovative, educational, natural and social sciences, 4(4), 317-324.

G‘ayimnazarov, I. X. (2024). OQIZIQLAR HARAKATINING BOSHLANISHINI TAHLIL QILISH. Oriental renaissance: Innovative, educational, natural and social sciences, 4(10), 142-147.