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Prognostication of production processes based on polynomial regression analysis (CROSBI ID 324130)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Shvachych, G. G. ; Mamuzić, Ilija ; Moroz, B. I. ; Aleksiev, O. M. ; Khar, A. T. ; Myronenko, M. A. Prognostication of production processes based on polynomial regression analysis Computer-integrated technologies: education, science, production, 2023 (2023), 50; 27-35. doi: 10.36910/6775-2524-0560-2023-50-04

Podaci o odgovornosti

Shvachych, G. G. ; Mamuzić, Ilija ; Moroz, B. I. ; Aleksiev, O. M. ; Khar, A. T. ; Myronenko, M. A.

ruski

Prognostication of production processes based on polynomial regression analysis

In the article, on the basis of polynomial regression analysis, adequate mathematical models of pipe production at the main enterprises of the mining and metallurgical complex of Ukraine are constructed. This made it possible to forecast the develpment of the relevant production chains. At the same time, the processing of experimental data was carrried out by modern means of information technology. To build mathematical models, a hypothesis was put forward about the polynomial dependense of the experimental data.

mathematical modeling ; prognosis ; pipe production ; regression analysis ; model adequacy ; information technology

nije evidentirano

engleski

Prognostication of production processes based on polynomial regression analysis

nije evidentirano

mathematical modeling ; prognosis ; pipe production ; regression analysis ; model adequacy ; information technology

nije evidentirano

Podaci o izdanju

2023 (50)

2023.

27-35

objavljeno

2524-0552

2524-0560

10.36910/6775-2524-0560-2023-50-04

Povezanost rada

Povezane osobe



Metalurgija

Poveznice