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SOURCE:   Almanac of Modern Science and Education. Tambov: Gramota, 2017. № 4-5. P. 68-72. ISSN 1993-5552.
SCIENTIFIC AREA: Technical Sciences
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NEURONET DATA ANALYSIS OF ELECTROENCEPHALOGRAM

Musakulova Zhyldyz Abdymanapovna
International University of the Kyrgyz Republic in Bishkek


Abstract. A neuronet module is suggested for analyzing recording of the electroencephalogram using a multilayer neural network with nonlinear synaptic outputs. An algorithm for aggregating data of the electroencephalogram using Kohonen neural networks is considered. The proposed module allows processing data of the electroencephalogram record and classifying them at the "open/close eyes" test.
Key words and phrases: нейронные сети, электроэнцефалограмма, алгоритм агрегирования, альфа-ритм, нейросетевой модуль, neural networks, electroencephalogram, algorithm of aggregation, alpha-rhythm, neuronet module.
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