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Title: EEG Neuro-processing for the development of neurointerfaces
Authors: Chervyakov, N. I.
Червяков, Н. И.
Lyakhov, P. A.
Ляхов, П. А.
Kiladze, M. R.
Киладзе, М. Р.
Kovalets, A. A.
Ковалец, А. А.
Lyakhova, U. A.
Ляхова, У. А.
Keywords: Backpropagation;Electroencephalogram;Neural networks;Neuro-interface;Perceptron
Issue Date: 2020
Publisher: Institute of Physics Publishing
Citation: Chervyakov, 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 012003
Series/Report no.: IOP Conference Series: Materials Science and Engineering
Abstract: Fast 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 error
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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