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Application of intellectual technologies for optimization of the structure of controlled technological systems

Abstract

A research direction in the field of controllable technological systems based on construction of artificial neural network models for functioning of intellectual real-time decision support systems is proposed.

About the Authors

V. S. Smorodin
Gomel state university named after F. Skorina
Belarus

Smorodin Victor Sergeevich - D.Sci, professor, head of the department of mathematical problems of control and informatics

246019, Republic of Belarus, Gomel, Sovetskaya str., 104

tel. +375-29-329-27-99



V. A. Prokhorenko
Gomel state university named after F. Skorina
Belarus

assistant of the department of mathematical problems of control and informatics



References

1. Maksimej I.V. Metody i sredstva imitacionnogo modelirovanija tehnologicheskih processov proizvodstva. Gomel': GGU im. F. Skoriny, 2007. 369 s. (in Russ.)

2. Maksimej, I.V., Smorodin V.S., Demidenko O.M. Razrabotka imitacionnyh modelej slozhnyh tehnicheskih sistem. Gomel': GGU im. F. Skoriny, 2014. 298 s. (in Russ.)

3. Maksimej I.V., Demidenko O.M., Smorodin V.S. Problemy teorii i praktiki modelirovanija slozhnyh sistem. Gomel': GGU im. F. Skoriny, 2015. 263 s. (in Russ.)

4. Ahterov A.V., Kiril'chenko A.A Osnovy teoreticheskoj robototehniki. Iskusstvennye nejronnye seti. Obzor // Preprinty IPM im. M.V. Keldysha. 2008. № 2. 20 s. (in Russ.)

5. Ossovskij S. Nejronnye seti dlja obrabotki informacii. M.: Finansy i statistika, 2002. 345 s. (in Russ.)


Review

For citations:


Smorodin V.S., Prokhorenko V.A. Application of intellectual technologies for optimization of the structure of controlled technological systems. Doklady BGUIR. 2018;(8):30-35. (In Russ.)

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ISSN 1729-7648 (Print)
ISSN 2708-0382 (Online)