Titlebook: International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy; Volume 2 Vera Murgul,Viktor Pukhkal C

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Ielizaveta Dunaieva,Ekaterina Barbotkina,Valentyn Vecherkov,Valentina Popovych,Vladimir Pashtetsky,Vthe systems approach do so in the belief that it is a powerful and precise method of study. Scholars who try to shoot it down fail to see any advantage in it; indeed, many deem it periIicious. Van Dyne (1980, p. 889) records a facetious comment he once heard, the gist of which ran: "In instances whe

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ho praise the systems approach do so in the belief that it is a powerful and precise method of study. Scholars who try to shoot it down fail to see any advantage in it; indeed, many deem it periIicious. Van Dyne (1980, p. 889) records a facetious comment he once heard, the gist of which ran: "In ins

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Hierarchical Quasi-Neural Network Data Aggregation to Build a University Research and Innovation Manicators. The leading approach includes: semantic decomposition of data into elementary aggregates; formation of aggregate metadata in the form of indicators characterizing the degree of compliance of aggregated data with planned criteria indicators.

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Neural Network Modeling Methods in the Analysis of the Processing Plant’s Indicatorssed, which includes the interpretation of calculated average values of studied parameters of all neurons, using the method of factor analysis, design of selected neurons on the plane of the main components Fi – Fj and applying on them the physical values of the vectors of the measured parameters and

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resuscitation

Enterprise Architecture Modeling in Digital Transformation Erare, as well as Business architecture of a production enterprise is shown. The results of the analysis are combined into a comprehensive meta-model that describes the possible development of a modern enterprise within the framework of the Industry 4.0 concept.

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