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Implementation of CMAC neural network control systems in residue number system

Implementation of CMAC neural network control systems in residue number system

The method and algorithm of cerebellar model arithmetic computer (CMAC) training of the many variables modular function is offered. The submitted method allows using CMAC neural network to implement proportional-integral-derivative controllers, functioning in residue number system. The hardware real...

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Главные авторы: Koldaev, A. I., Колдаев, А. И., Tikhonov, E. E., Тихонов, Э. Е., Evdokimov, A. A., Евдокимов, А. А.
Формат: Статья
Язык:English
Опубликовано: Institute of Electrical and Electronics Engineers Inc. 2020
Темы:
Computer hardware
Controllers
Numbering systems
Proportional control systems
Table lookup
Two term control systems
Residue number system (RNS)
Neural networks
Online-ссылка:https://www.scopus.com/record/display.uri?eid=2-s2.0-85078073284&origin=resultslist&sort=plf-f&src=s&st1=Implementation+of+CMAC+Neural+Network+Control+Systems+in+Residue+Number+System&st2=&sid=18a1d7ce270d580283669152c636b27c&sot=b&sdt=b&sl=93&s=TITLE-ABS-KEY%28Implementation+of+CMAC+Neural+Network+Control+Systems+in+Residue+Number+System%29&relpos=0&citeCnt=0&searchTerm=
https://dspace.ncfu.ru/handle/20.500.12258/11264
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