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Telecommunications and Radio Engineering

Erscheint 12 Ausgaben pro Jahr

ISSN Druckformat: 0040-2508

ISSN Online: 1943-6009

SJR: 0.185 SNIP: 0.268 CiteScore™:: 1.5 H-Index: 22

Indexed in

EMPLOYMENT OF INTELLIGENT TECHNOLOGIES IN MULTIPARAMETRIC CONTROL SYSTEMS

Volumen 75, Ausgabe 19, 2016, pp. 1775-1785
DOI: 10.1615/TelecomRadEng.v75.i19.60
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ABSTRAKT

It is suggested an approach to multiparametric control over the complex systems with application of the intelligent technologies. On the basis of fuzzy logic there are developed the models of formalization of controlling factors that allowed to adequately implement the quality parameters at functioning of the system. It is determined the fuzzy mechanism of modeling, and the knowledge base is designed based on the expert assessments and statistical data. Fuzzy model learning is implemented upon the criterion of minimization of the deviation error by means of adjusting the parameters of membership functions on the basis of the learning sample. The application problem is solved on the example of the commercial bank that confirmed improvement of the control accuracy over its financial indicators after implementing the fuzzy models.

REFERENZIERT VON
  1. Panchenko Volodymir, Zamula Alina, Kavun Sergii, Mikheev Ivan, Intelligent management of the enterprise personnel security system, 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies (DESSERT), 2018. Crossref

  2. Kavun Sergii, Zamula Alina, Miziurin Valerii, Intelligent Evaluation Method for Complex Systems in The Big Data Environment, 2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering (UKRCON), 2019. Crossref

  3. Zamula Alina, Kavun Sergii, Serdukov Kostyantyn, Binary Recommender System with Artificial Intelligence Aids, 2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T), 2019. Crossref

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