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UDC 004.942

NEURAL NETWORK COMPUTER MODEL FOR SUPPORTING DECISION-MAKING IN EDUCATIONAL COMPLEXES

O. N. Romashkova, PhD (technical sciences), full professor, Head of the Department, MСU, Moscow; This email address is being protected from spambots. You need JavaScript enabled to view it.
F. O. Fedin, PhD (military sciences), associate professor, MСU, Moscow; This email address is being protected from spambots. You need JavaScript enabled to view it.
T. N. Ermakova, post-graduate student, MСU, Moscow, This email address is being protected from spambots. You need JavaScript enabled to view it.

The problem of improving the management of the educational complex by creating a neural network model to support the adoption of managerial decisions by the leaders of reorganized educational organizations is considered. The purpose of the work is to develop a neural network computer model that allows to predict the number of students in the educational complex, taking into account the factors that largely influence the choice of the parents of an educational organization. The results of factorial and correlation analysis of the indicators that affect the opinion of parents when choosing an institution for their children are presented. The stages of construction of a neural network are considered. An example of its use is shown. The constructed neural network computer model can be used in management activity of heads of educational complexes both autonomously and as a module of decision support system.

Key words: educational complex, neural network computer model, decision support system, factor analysis, correlation degree, correlation analysis, threshold of significance, neural network, neuron.

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