DOI

In this article, the recognition method is applied to the comparison of industrial enterprises. At the same time, we had to consider the methods of taking into account non-formalized factors. The method can be used for objective ranking of enterprises. While researching the topic, a neural expert system was developed, and it was used by specialists of the regional government to predict the dynamics of industry. In view of the complexity of relations, conflicting non-equality systems were arising. We were resolving them by means of committee method. The effect of managing the situation by varying the values of factors by tracking them on a computer model, made it possible to adjust the model as a means of parallelizing the committee constructions. They act directly in multi-layer neural networks.
Translated title of the contributionEXPERIENCE OF MULTI-LAYER NEURAL NETWORK APPLICATION FOR EMPIRICAL REGULARITIES IDENTIFICATION
Original languageRussian
Pages (from-to)160-165
Number of pages6
JournalВестник Южно-Уральского государственного университета. Серия: Компьютерные технологии, управление, радиоэлектроника
Volume19
Issue number2
DOIs
Publication statusPublished - 2019

    GRNTI

  • 47.00.00 ELECTRONICS. RADIO ENGINEERING

    Level of Research Output

  • VAK List

ID: 10046158