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SYNTHESIS ALGORITHM OF CONTROL SYSTEM BASED ON NEURAL NETWORK FOR THE GAS AND OIL PROCESS

Jasur SevinovDepartment of Information processing and control systems, Faculty Electronic and Automatic, Tashkent State Technical University, Tashkent, Uzbekistan, Address: Universitetskaya-2, 100095 Tashkent city, Republic of UzbekistanAbdishukurov Maqsudovich ShavkatTashkent state technical university. Tashkent city, Republic of Uzbekistan. E-mail: [email protected];A.Z. ShodiyorovTashkent state technical university. Tashkent city, Republic of Uzbekistan

Himičeskaâ tehnologiâ. Kontrolʹ i upravlenie/Chemical Technology. Control and Managementjournal2024en

ABI

Annotatsiya

Automatic control systems in the oil and gas processing are considered. After extraction of natural gas condensate, management of technological parameters plays an important role in its processing. Among the parameter of regulating algorithms, control based on neural network technology was considered. These control systems are created on the basis of algorithms of neural network technology. There are several structures of neural networks according to their structure. Differences in the process of information processing of these branching structures are considered.

Mavzular

Advanced Data Processing Techniques Advanced Control Systems Optimization

Identifikatorlar

DOI: 10.59048/2181-1105.1559

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