This article focuses on the development of all automated production as well
as the oil and gas industry. Classical adjustment and control algorithms can be found in the
automation of many industrial enterprises today. This leads to lower quality of automatic
adjustment in production. A clear example of this is the automatic systems created in the
second half of the last century, which are adjusted using short-codes in the program.
Therefore, it is crucial to study them well and introduce them to management algorithms and
programs that meet modern and international standards. That is, today's rapidly evolving
intellectual management programs and self-determination algorithms ensure the speed and
quality of automation systems. These algorithms and codes lead to the study of artificial
intelligence and artificial neural networks. In fact, this article addresses some of these
sections as well. We can see that the auto-adjustment algorithms and program codes based on them have paid off. At the bottom of the article, you can see the industrial enterprises
that are achieving high results today using these systems
This article focuses on the development of all automated production as well
as the oil and gas industry. Classical adjustment and control algorithms can be found in the
automation of many industrial enterprises today. This leads to lower quality of automatic
adjustment in production. A clear example of this is the automatic systems created in the
second half of the last century, which are adjusted using short-codes in the program.
Therefore, it is crucial to study them well and introduce them to management algorithms and
programs that meet modern and international standards. That is, today's rapidly evolving
intellectual management programs and self-determination algorithms ensure the speed and
quality of automation systems. These algorithms and codes lead to the study of artificial
intelligence and artificial neural networks. In fact, this article addresses some of these
sections as well. We can see that the auto-adjustment algorithms and program codes based on them have paid off. At the bottom of the article, you can see the industrial enterprises
that are achieving high results today using these systems
| № | Имя автора | Должность | Наименование организации |
|---|---|---|---|
| 1 | Zaripov O.O. | teacher | TSTU |
| 2 | Abdishukurov S.M. | teacher | TSTU |
| 3 | Odilov F.F. | teacher | TSTU |
| № | Название ссылки |
|---|---|
| 1 | N.R. Yusupbekov., R.A. Aliyev., R.R. Aliyev., A.N. Yusupbekov. Intellectual controlling systems and decision making by the state scientific publishing house named “National Encyclopedia of Uzbekistan”, 2015 |
| 2 | O.O. Zaripov., U.Sh. Khamrakulov., S.I. Fayziev., S.B. Sadikov., B.N. Mamadjanov. Algorithms for Intelligent Data Processing in Resource Management under Uncertainty and Dynamic Environment. “International Conference on Information Science and Communications Technologies: Applications, Trends and Opportunities”, 2021 |
| 3 | J.U. Sevinov., O.O. Zaripov., S.O. Zaripova. The algorithm of adaptive estimation in the synthesis of the dynamic objects control systems. “International Journal of Advanced Science and Technology”, 2020. 1096 |
| 4 | R.A. Aliyev., F.T. Aliyev., M.D. Babayev. “Fuzzy process control and knowledge engineering”,1991 |
| 5 | G.V. Ivanova. Automation of technological processes main chemical industries. “Methodological materials for the course of lectures”, 2003 |
| 6 | www.shgkm.uz |
| 7 | www.uzoltinyulgtl.uz. |