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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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Автори: Tikhonov, E. E., Тихонов, Е. Е., Sosin, A. I., Сосин, А. И.
Формат: Статья
Мова:English
Опубліковано: Institute of Electrical and Electronics Engineers Inc. 2019
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Онлайн доступ: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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