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dc.contributor.advisorGolovko, Vladimir
dc.contributor.authorVaitsekhovich, Henadzi
dc.coverage.spatialGliwiceru_RU
dc.date.accessioned2023-11-11T06:55:29Z
dc.date.available2023-11-11T06:55:29Z
dc.date.issued2012
dc.identifier.citationVaitsekhovich, H. Neural Networks in Ischemic Strokes Diagnostics / Henadzi Vaitsekhovich ; supervisor: Vladimir Golovko // Proceedings of XIV International PhD Workshop (OWD’2012), Wisla, 20–23 October 2012 / Polish Society of Theoretical and Applied Electrotechnics [et al.] ; edited Marcin Szczgiel. – Gliwice : Organising Committee of the Symposium PPEE Seminar BSE, 2012. – P. 364–369 : il. – Bibliogr.: p. 369 (8 titles).ru_RU
dc.identifier.urihttps://rep.bstu.by/handle/data/37011
dc.descriptionВайцехович Геннадий. Нейронные сети в диагностике ишемических инсультовru_RU
dc.description.abstractIn this paper the neural network model for transient ischemic attacks recognition have been addressed. The proposed approach is based on integration of the NPCA neural network and multilayer perceptron. The dataset from clinic have been used for experiments performing. Combining two different neural networks (NPCA and MLP) it is possible to produce efficient performance in terms of transient ischemic attacks detection and recognition. The main advantages of using neural network techniques are quickness and ability to assist a doctor in making decision.ru_RU
dc.language.isoenru_RU
dc.publisherOrganising Committee of the Symposium PPEE Seminar BSEru_RU
dc.subjectнейронные сетиru_RU
dc.subjectneural networksru_RU
dc.subjectдиагностика ишемического инсультаru_RU
dc.subjectdiagnosis of ischemic strokeru_RU
dc.titleNeural Networks in Ischemic Strokes Diagnosticsru_RU
dc.title.alternativeНейронные сети в диагностике ишемических инсультовru_RU
dc.typeНаучный доклад (Working Paper)ru_RU


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