Optimization of neural network computation with use of residual number system for tasks of design of neural network systems of automatic control

The article is devoted to the description of approaches to the solution of the actual problem of optimization of neural network calculations using the non-position number system (residual number system) for design problems of neural network automatic control systems. The problems arising in neural n...

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Главные авторы:	Tikhonov, E. E., Тихонов, Э. Е., Sosin, A. I., Сосин, А. И., Evdokimov, A. A., Евдокимов, А. А.
Формат:	Статья
Язык:	English
Опубликовано:	Institute of Electrical and Electronics Engineers Inc. 2019
Темы:	Chinese remainder theorem (CRT) Data sharing Generalized polyadic number system (GPNS) Neurocontrol systems with astatic industrial plants Positional number system (PNS) Residue number system (RNS) Problem solving
Online-ссылка:	https://www.scopus.com/record/display.uri?eid=2-s2.0-85061745511&origin=resultslist&sort=plf-f&src=s&st1=Optimization+of+Neural+Network+Computation+with+use+of+Residual+Number+System+for+Tasks+of+Design+of+Neural+Network+Systems+of+&st2=&sid=5ae6e1ef2618948862f9a63c7746ec40&sot=b&sdt=b&sl=142&s=TITLE-ABS-KEY%28Optimization+of+Neural+Network+Computation+with+use+of+Residual+Number+System+for+Tasks+of+Design+of+Neural+Network+Systems+of+%29&relpos=0&citeCnt=0&searchTerm= https://dspace.ncfu.ru/handle/20.500.12258/4625
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spelling	ir-20.500.12258-46252024-10-18T10:50:20Z Optimization of neural network computation with use of residual number system for tasks of design of neural network systems of automatic control Tikhonov, E. E. Тихонов, Э. Е. Sosin, A. I. Сосин, А. И. Evdokimov, A. A. Евдокимов, А. А. Chinese remainder theorem (CRT) Data sharing Generalized polyadic number system (GPNS) Neurocontrol systems with astatic industrial plants Positional number system (PNS) Residue number system (RNS) Problem solving The article is devoted to the description of approaches to the solution of the actual problem of optimization of neural network calculations using the non-position number system (residual number system) for design problems of neural network automatic control systems. The problems arising in neural network control systems of industrial objects characterized by astatic properties are identified and analyzed. The approach proposed to solve these problems is confirmed by an example of solving a real problem 2019-03-04T09:44:47Z 2019-03-04T09:44:47Z 2018 Статья Tikhonov, E.E., Sosin, A.I., Evdokimov, A.A. Optimization of neural network computation with use of residual number system for tasks of design of neural network systems of automatic control // 2018 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2018. - 2018. - Номер статьи 8602679 https://www.scopus.com/record/display.uri?eid=2-s2.0-85061745511&origin=resultslist&sort=plf-f&src=s&st1=Optimization+of+Neural+Network+Computation+with+use+of+Residual+Number+System+for+Tasks+of+Design+of+Neural+Network+Systems+of+&st2=&sid=5ae6e1ef2618948862f9a63c7746ec40&sot=b&sdt=b&sl=142&s=TITLE-ABS-KEY%28Optimization+of+Neural+Network+Computation+with+use+of+Residual+Number+System+for+Tasks+of+Design+of+Neural+Network+Systems+of+%29&relpos=0&citeCnt=0&searchTerm= http://hdl.handle.net/20.500.12258/4625 en 2018 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2018 application/pdf application/pdf Institute of Electrical and Electronics Engineers Inc.
institution	СКФУ
collection	Репозиторий
language	English
topic	Chinese remainder theorem (CRT) Data sharing Generalized polyadic number system (GPNS) Neurocontrol systems with astatic industrial plants Positional number system (PNS) Residue number system (RNS) Problem solving
spellingShingle	Chinese remainder theorem (CRT) Data sharing Generalized polyadic number system (GPNS) Neurocontrol systems with astatic industrial plants Positional number system (PNS) Residue number system (RNS) Problem solving Tikhonov, E. E. Тихонов, Э. Е. Sosin, A. I. Сосин, А. И. Evdokimov, A. A. Евдокимов, А. А. Optimization of neural network computation with use of residual number system for tasks of design of neural network systems of automatic control
description	The article is devoted to the description of approaches to the solution of the actual problem of optimization of neural network calculations using the non-position number system (residual number system) for design problems of neural network automatic control systems. The problems arising in neural network control systems of industrial objects characterized by astatic properties are identified and analyzed. The approach proposed to solve these problems is confirmed by an example of solving a real problem
format	Статья
author	Tikhonov, E. E. Тихонов, Э. Е. Sosin, A. I. Сосин, А. И. Evdokimov, A. A. Евдокимов, А. А.
author_facet	Tikhonov, E. E. Тихонов, Э. Е. Sosin, A. I. Сосин, А. И. Evdokimov, A. A. Евдокимов, А. А.
author_sort	Tikhonov, E. E.
title	Optimization of neural network computation with use of residual number system for tasks of design of neural network systems of automatic control
title_short	Optimization of neural network computation with use of residual number system for tasks of design of neural network systems of automatic control
title_full	Optimization of neural network computation with use of residual number system for tasks of design of neural network systems of automatic control
title_fullStr	Optimization of neural network computation with use of residual number system for tasks of design of neural network systems of automatic control
title_full_unstemmed	Optimization of neural network computation with use of residual number system for tasks of design of neural network systems of automatic control
title_sort	optimization of neural network computation with use of residual number system for tasks of design of neural network systems of automatic control
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2019
url	https://www.scopus.com/record/display.uri?eid=2-s2.0-85061745511&origin=resultslist&sort=plf-f&src=s&st1=Optimization+of+Neural+Network+Computation+with+use+of+Residual+Number+System+for+Tasks+of+Design+of+Neural+Network+Systems+of+&st2=&sid=5ae6e1ef2618948862f9a63c7746ec40&sot=b&sdt=b&sl=142&s=TITLE-ABS-KEY%28Optimization+of+Neural+Network+Computation+with+use+of+Residual+Number+System+for+Tasks+of+Design+of+Neural+Network+Systems+of+%29&relpos=0&citeCnt=0&searchTerm= https://dspace.ncfu.ru/handle/20.500.12258/4625
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Optimization of neural network computation with use of residual number system for tasks of design of neural network systems of automatic control

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