Development of prognostic neural network models based on non-positional coding for automatic control systems

Development of prognostic neural network models based on non-positional coding for automatic control systems

The article is devoted to the discussion of the problems of development of predictive neural network models based on the residual number system and the use of modular arithmetic to improve the quality of automatic control systems by adding to the control algorithms a prognostic component, which is e...

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Bibliographic Details
Main Authors:	Tikhonov, E. E., Тихонов, Е. Е., Sosin, A. I., Сосин, А. И.
Format:	Статья
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2019
Subjects:	Neural network control systems Neural network forecasting Positional number system (PNS) Residue number system (RNS) Control system
Online Access:	https://www.scopus.com/record/display.uri?eid=2-s2.0-85061709671&origin=resultslist&sort=plf-f&src=s&st1=Development+of+Prognostic+Neural+Network+Models+Based+on+Non-Positional+Coding+for+Automatic+Control+Systems&st2=&sid=5ae6e1ef2618948862f9a63c7746ec40&sot=b&sdt=b&sl=123&s=TITLE-ABS-KEY%28Development+of+Prognostic+Neural+Network+Models+Based+on+Non-Positional+Coding+for+Automatic+Control+Systems%29&relpos=0&citeCnt=0&searchTerm= https://dspace.ncfu.ru/handle/20.500.12258/4623
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