DEVELOPMENT OF NEURO-NETWORK AUTOMATIC SYSTEM OF EEG INDEXES CLASSIFICATION
Musakulova Zhyldyz Abdymanapovna
International University of Kyrgyzstan
Abstract. The neuro-network automatic system of EEG classification realized on the basis of modern technical and software support is offered. The developed system of EEG neuro-network classification consists of three basic software modules: the module of preliminary data processing, the module of temporary classification, the module of EEG classification.
Key words and phrases: электроэнцефалограмма (ЭЭГ), нейронные сети, нейросетевой классификатор, нейросетевая система, сеть Кохонена, electroencephalogram (EEG), neuronic networks, neuro-network classifier, neuro-network system, Kohonen network
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References:
Gnezditskii V. V. Obratnaya zadacha EEG i klinicheskaya elektroentsefalografiya (kartirovanie i lokalizatsiya istochnikov elektricheskoi aktivnosti mozga). M.: MEDpress-inform, 2004. 624 s.
Zhirmunskaya E. A. Sistemy opisaniya i klassifikatsiya elektroentsefalogramm cheloveka. M.: Nauka, 1984. 78 s.
Zenkov L. R. Klinicheskaya elektroentsefalografiya (s elementami epileptologii). M.: MEDpress-inform, 2004. 368 s.
Mirkin E. L., Musakulova Zh. A. Model' iskusstvennogo neirona s nelineinymi sinapticheskimi vkhodami // Problemy avtomatiki i upravleniya. Bishkek, 2012. № 1. S. 79-88.
Mirkin E. L., Musakulova Zh. A., Shmoor Ya. A. Ispol'zovanie neirosetevykh tekhnologii v zadache klassifikatsii elektroentsefalogramm cheloveka // Problemy avtomatiki i upravleniya. Bishkek, 2013. № 1. S. 69-79.
Musakulova Zh. A. Ispol'zovanie iskusstvennykh neironnykh setei dlya zadach klassifikatsii patternov EEG // Izvestiya KGTU im. Razzakova. Bishkek, 2012. № 27. S. 167-171.
Musakulova Zh. A. Nastroika vkhodnoi sigmoidal'noi funktsii aktivatsii v algoritme obucheniya neironnykh setei // Nauchnyi aspekt. Samara, 2012. T. 2. № 4. S. 231-238.