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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
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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=
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spelling ir-20.500.12258-112642024-10-18T10:49:17Z Implementation of CMAC neural network control systems in residue number system Koldaev, A. I. Колдаев, А. И. Tikhonov, E. E. Тихонов, Э. Е. Evdokimov, A. A. Евдокимов, А. А. Computer hardware Controllers Numbering systems Proportional control systems Table lookup Two term control systems Residue number system (RNS) Neural networks 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 realization of CMAC on the basis of lookup tables is considered. The simulation results demonstrate the effectiveness of the proposed CMAC neural network controller in residue number system. Application of the proposed CMAC neural network allows reducing of hardware costs while maintaining high reliability and performance of controller 2020-02-07T11:57:36Z 2020-02-07T11:57:36Z 2019 Статья Koldaev, A.I., Tikhonov, E.E., Evdokimov, A.A. Implementation of CMAC Neural Network Control Systems in Residue Number System // 2019 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2019. - 2019. - Номер статьи 8933872 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= http://hdl.handle.net/20.500.12258/11264 en 2019 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2019 application/pdf Institute of Electrical and Electronics Engineers Inc.
institution СКФУ
collection Репозиторий
language English
topic Computer hardware
Controllers
Numbering systems
Proportional control systems
Table lookup
Two term control systems
Residue number system (RNS)
Neural networks
spellingShingle Computer hardware
Controllers
Numbering systems
Proportional control systems
Table lookup
Two term control systems
Residue number system (RNS)
Neural networks
Koldaev, A. I.
Колдаев, А. И.
Tikhonov, E. E.
Тихонов, Э. Е.
Evdokimov, A. A.
Евдокимов, А. А.
Implementation of CMAC neural network control systems in residue number system
description 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 realization of CMAC on the basis of lookup tables is considered. The simulation results demonstrate the effectiveness of the proposed CMAC neural network controller in residue number system. Application of the proposed CMAC neural network allows reducing of hardware costs while maintaining high reliability and performance of controller
format Статья
author Koldaev, A. I.
Колдаев, А. И.
Tikhonov, E. E.
Тихонов, Э. Е.
Evdokimov, A. A.
Евдокимов, А. А.
author_facet Koldaev, A. I.
Колдаев, А. И.
Tikhonov, E. E.
Тихонов, Э. Е.
Evdokimov, A. A.
Евдокимов, А. А.
author_sort Koldaev, A. I.
title Implementation of CMAC neural network control systems in residue number system
title_short Implementation of CMAC neural network control systems in residue number system
title_full Implementation of CMAC neural network control systems in residue number system
title_fullStr Implementation of CMAC neural network control systems in residue number system
title_full_unstemmed Implementation of CMAC neural network control systems in residue number system
title_sort implementation of cmac neural network control systems in residue number system
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2020
url 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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