HEURISTIC MODELS FOR MULTIPARAMETER IDENTIFICATION OF HYDRODYNAMIC OBJECTS OF ANALYSIS

  • Suvonov Olim Omonovich Associate Professor of the Department of Informatics, Navoi State Pedagogical Institute
Keywords: principle of self-organization, heuristic model, physical experiment, three-criteria selection, ranking, response function, group argument accounting method

Abstract

The article develops algorithms for constructing heuristic models of multi-parameter objects of hydrodynamics, identifying the parameters of physical processes based on the results of the experiment. A technique for constructing an optimal model for changing the filtration properties of oil field reservoirs is proposed.

References

1. Ivakhnenko A.G., Zaichenko Yu.P., Dimitrov V.D. Decision making based on self-organization. - M.: Science. - 1976. - 280 p.
2. Rastrigin L.A. Statistical search methods. - M.: Nauka. - 1969. - 376 p.
3. Rastrigin L.A. Extreme control systems. - M.: Science. 1974. - 630 p.
4. Suvonov O.O. Mathematical model of control of a hydrodynamic object with distributed parameters (on the example of oil fields). Central Asian journal of mathematical theory and computer sciences http://cajmtcs.centralasianstudies.org/index.php/CAJMTCS Volume: 03 Issue: 04 | Apr 2022 ISSN: 2660-5309. 5 pages.
Published
2022-07-26
How to Cite
Omonovich, S. O. (2022). HEURISTIC MODELS FOR MULTIPARAMETER IDENTIFICATION OF HYDRODYNAMIC OBJECTS OF ANALYSIS. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES, 3(7), 25-30. Retrieved from https://cajmtcs.centralasianstudies.org/index.php/CAJMTCS/article/view/210
Section
Articles