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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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Tikhonov, E. E., Тихонов, Е. Е., Sosin, A. I., Сосин, А. И.
التنسيق: Статья
اللغة:English
منشور في: Institute of Electrical and Electronics Engineers Inc. 2019
الموضوعات:
الوصول للمادة أونلاين: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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