Технические науки
SELF-LEARNING MODULE FOR PREDICTING THE PARAMETERS OF TECHNICAL SYSTEMS AND COMPLEXES
Dubenko Yu.V. 2, Dyshkant E.E. 1
1. Armavir Institute of Mechanics and Technology (branch) of Federal State Budgetary Institution of Higher Education “Kuban State Tech-nological University” 2. Federal State Budgetary Institution of Higher Education “Kuban State Tech-nological University”
Abstract:
the article presents a forecasting module for performance indicators of complex technical systems, which has the functions of selecting the optimal method depending on the characteristics of the predicted value, as well as determining the optimal parameters of this prediction method. These functions are implemented on the basis of an artificial neural network
Keywords: artificial neural network, precedent analysis, prediction module
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