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The architecture of a fault-tolerant modular neurocomputer based on modular number projections

The architecture of a fault-tolerant modular neurocomputer based on modular number projections

This paper suggests a rather efficient architecture for an error correction unit of a residue number system (RNS) that is based on a redundant RNS (RRNS) and applied in parallel data processing structures owing to its capability to improve information stability in calculations. However, the high eff...

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Главные авторы: Chervyakov, N. I., Червяков, Н. И., Lyakhov, P. A., Ляхов, П. А., Babenko, M. G., Бабенко, М. Г., Lavrinenko, I. N., Лавриненко, И. Н., Lavrinenko, A. V., Лавриненко, А. В., Nazarov, A. S., Назаров, А. С.
פורמט: Статья
שפה:English
יצא לאור: Elsevier B.V. 2018
נושאים:
Digital neuron
Fault-tolerance
Field-programmable gate array
Finite ring neural network
Modular neurocomputer
Residue number system (RNS)
גישה מקוונת:https://www.scopus.com/record/display.uri?eid=2-s2.0-85022059501&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=nort*+caucas*+fed*+univ*&sid=2cf89b62d1430faea2513c9ed4dc1d39&sot=afnl&sdt=afsp&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&relpos=15&citeCnt=0&searchTerm=
https://dspace.ncfu.ru:443/handle/20.500.12258/218
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https://www.scopus.com/record/display.uri?eid=2-s2.0-85022059501&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=nort*+caucas*+fed*+univ*&sid=2cf89b62d1430faea2513c9ed4dc1d39&sot=afnl&sdt=afsp&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&relpos=15&citeCnt=0&searchTerm=
https://dspace.ncfu.ru:443/handle/20.500.12258/218

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