Online Medical Data Stream Mining Based on Adaptive Neuro-Fuzzy Approaches
The purpose of the paper is to develop approach, based on adaptive neuro-fuzzy systems to solve the tasks of medical data stream mining in online-mode. Results. As a result, approbation of the developed approach in supervised learning mode using multidimensional neo-fuzzy neuron on medical data of...
Збережено в:
| Дата: | 2019 |
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| Автори: | , |
| Формат: | Стаття |
| Мова: | Ukrainian |
| Опубліковано: |
Міжнародний науково-навчальний центр інформаційних технологій і систем НАН України та МОН України
2019
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| Назва видання: | Кибернетика и вычислительная техника |
| Теми: | |
| Онлайн доступ: | http://dspace.nbuv.gov.ua/handle/123456789/168336 |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Цитувати: | Online Medical Data Stream Mining Based on Adaptive Neuro-Fuzzy Approaches / I.G. Perova, Ye.V. Bodyanskiy // Cybernetics and computer engineering. — 2019. — № 4 (198). — С. 3-25. — Бібліогр.: 29 назв. — англ. |
Репозитарії
Digital Library of Periodicals of National Academy of Sciences of Ukraine| Резюме: | The purpose of the paper is to develop approach, based on adaptive neuro-fuzzy systems to solve the tasks of medical data stream mining in online-mode. Results. As a result, approbation of the developed approach in supervised learning mode using multidimensional neo-fuzzy neuron on medical data of patients with urological disease was investigated. |
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