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Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/20.500.12258/13723
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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.authorKiladze, M. R.-
dc.contributor.authorКиладзе, М. Р.-
dc.contributor.authorKovalets, A. A.-
dc.contributor.authorКовалец, А. А.-
dc.contributor.authorLyakhova, U. A.-
dc.contributor.authorЛяхова, У. А.-
dc.date.accessioned2020-09-02T10:00:11Z-
dc.date.available2020-09-02T10:00:11Z-
dc.date.issued2020-
dc.identifier.citationChervyakov, N.I., Lyakhov, P.A., Kiladze, M.R., Kovalets, A.A., Lyakhova, U.A. EEG Neuro-processing for the development of neurointerfaces // IOP Conference Series: Materials Science and Engineering. - 2020. - Volume 873. - Issue 1. - Номер статьи 012003ru
dc.identifier.urihttp://hdl.handle.net/20.500.12258/13723-
dc.description.abstractFast and accurate processing of electroencephalogram (EEG) signals is necessary for correct realization of neurointerfaces. Neural network is one of the ways of its processing. In this article the method of EEG processing with the help of multilayer perceptron trained by the algorithm of error backpropagation is considered. The results of modeling during training of the neural network showed the minimum value of the Mean Squared errorru
dc.language.isoenru
dc.publisherInstitute of Physics Publishingru
dc.relation.ispartofseriesIOP Conference Series: Materials Science and Engineering-
dc.subjectBackpropagationru
dc.subjectElectroencephalogramru
dc.subjectNeural networksru
dc.subjectNeuro-interfaceru
dc.subjectPerceptronru
dc.titleEEG Neuro-processing for the development of neurointerfacesru
dc.typeСтатьяru
vkr.instИнститут математики и естественных наукru
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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