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Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/20.500.12258/3188
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dc.contributor.authorChervyakov, N. I.-
dc.contributor.authorЧервяков, Н. И.-
dc.contributor.authorLyakhov, P. A.-
dc.contributor.authorЛяхов, П. А.-
dc.contributor.authorBabenko, M. G.-
dc.contributor.authorБабенко, М. Г.-
dc.contributor.authorGaryanina, A. I.-
dc.contributor.authorГарянина, А. И.-
dc.contributor.authorLavrinenko, I. N.-
dc.contributor.authorЛавриненко, И. Н.-
dc.contributor.authorLavrinenko, A. V.-
dc.contributor.authorЛавриненко, А. В.-
dc.contributor.authorDeryabin, M. A.-
dc.contributor.authorДерябин, М. А.-
dc.date.accessioned2018-10-10T14:22:05Z-
dc.date.available2018-10-10T14:22:05Z-
dc.date.issued2016-
dc.identifier.citationChervyakov, N.I., Lyakhov, P.A., Babenko, M.G., Garyanina, A.I., Lavrinenko, I.N., Lavrinenko, A.V., Deryabin, M.A. An efficient method of error correction in fault-tolerant modular neurocomputers // Neurocomputing. - 2016. - Volume 205. - Pages 32-44ru
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-84969931011&origin=resultslist&sort=plf-f&src=s&nlo=&nlr=&nls=&sid=4571c9c342bce71328dbf4646312b3f0&sot=aff&sdt=cl&cluster=scopubyr%2c%222016%22%2ct&sl=174&s=AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29+OR+AF-ID%28%22Stavropol+State+University%22+60070961%29+OR+AF-ID%28%22stavropolskij+Gosudarstvennyj+Tehniceskij+Universitet%22+60026323%29&relpos=27&citeCnt=9&searchTerm=-
dc.identifier.urihttp://hdl.handle.net/20.500.12258/3188-
dc.description.abstractIn this paper, we propose the architecture of a fault-tolerant unit in a modular neurocomputer that is based on decoding with computation of errors syndromes on redundant moduli and implemented using FPGA and a finite ring neural network. The computational complexity of the proposed architecture is about 80% less in comparison with that of the architecture based on number projections in the mixed radix number systemru
dc.language.isoenru
dc.publisherElsevierru
dc.relation.ispartofseriesNeurocomputing-
dc.subjectArtificial neural networkru
dc.subjectChinese remainder theorem (CRT)ru
dc.subjectFault-toleranceru
dc.subjectMixed radix conversionru
dc.subjectResidue number system (RNS)ru
dc.subjectNetwork architectureru
dc.titleAn efficient method of error correction in fault-tolerant modular neurocomputersru
dc.typeСтатьяru
vkr.amountPages 32-44ru
vkr.instИнститут математики и естественных наук-
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