Show simple item record

dc.contributor.authorGolovko, Vladimir
dc.contributor.authorApanel, Elena
dc.contributor.authorMastykin, Alexander
dc.contributor.authorVaitsekhovich, Henadzi
dc.contributor.authorEvstigneev, Victor
dc.identifier.citationNeural Network Model for Transient Ischemic Attacks Diagnostics / V. Golovko [et al.] // Pattern recognition and information processing : proceeding of the 11th International Conference, Minsk, 18–20 May 2011 / Belarusian State University of Informatics and Radioelectronics ; ed.: Rauf Sadykhov [et al.]. – Minsk : BSUIR, 2011. – P. 263–267 : il. – Bibliogr.: p. 267 (8 titles).ru_RU
dc.descriptionВладимир Головко, Елена Апанель, Александр Мастыкин, Геннадий Вайцехович, Виктор Евстигнеев. Нейросетевая модель для диагностики транзиторных ишемических атакru_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 detection and recognition transient ischemic attacks. The main advantages of using neural network techniques are the ability to recognize "novel" TIA attack instances, quickness and ability to assist the doctor in making decision.ru_RU
dc.subjecttransient ischemic attacksru_RU
dc.subjectтранзиторные ишемические атакиru_RU
dc.subjectmultilayer perceptronru_RU
dc.subjectмногослойный персептронru_RU
dc.subjectnonlinear PCA neural networkru_RU
dc.subjectнелинейная нейронная сеть PCAru_RU
dc.subjectattacks recognitionru_RU
dc.subjectраспознавание атакru_RU
dc.titleNeural Network Model for Transient Ischemic Attacks Diagnosticsru_RU
dc.title.alternativeНейросетевая модель для диагностики транзиторных ишемических атакru_RU
dc.typeНаучный доклад (Working Paper)ru_RU

Files in this item


This item appears in the following Collection(s)

Show simple item record