Публікація:
Fast medical diagnostics using autoassociative neuro-fuzzy memory

dc.contributor.authorPerova, I.
dc.contributor.authorBodyanskiy, Ye. V.
dc.date.accessioned2018-09-17T08:17:28Z
dc.date.available2018-09-17T08:17:28Z
dc.date.issued2017
dc.description.abstractThis paper proposes an architecture of fast medical diagnostics system based on autoassociative neuro-fuzzy memory. The architecture of proposed system is close to traditional Takagi-Sugeno-Kang neuro-fuzzy system, but it is based on other principles. This system contains of recording subsystem and pattern retrieval subsystem, where diagnostics of patients with unknown diagnoses is realized. Level of memberships for all other possible diagnoses from recording subsystem is determined too. System tuning is based on lazy learning procedure and “neurons in data points” principle and uses bell-shaped fuzzy basis functions. Number of these functions changes during training process using principles of evolving connectionist systems. Bell-shaped membership functions centers can be tuned using proposed algorithm, processes of accumulation patients in fundamental memory and patients retrieval are described. This hybrid neuro-fuzzy associative memory combines advantages of fuzzy inference systems, artificial neural networks and evolving systems and its using provides the increasing of autoassociative memories capacity without essential complication of its architecture for medical diagnostics tasks.uk_UA
dc.identifier.citationPerova I. Bodyanskiy Fast medical diagnostics using autoassociative neuro-fuzzy memory / I. Perova, Ye. Bodyanskiy // International Journal of Computing. -2017. -16 (1). P. 34-40.uk_UA
dc.identifier.urihttp://openarchive.nure.ua/handle/document/6904
dc.language.isoenuk_UA
dc.publisherInternational Journal of Computinguk_UA
dc.subjectmedical diagnosticsuk_UA
dc.subjectmedical data mininguk_UA
dc.subjectcomputational intelligenceuk_UA
dc.subjectkernel fuzzy basis functionuk_UA
dc.subjectautoassociative neuro-fuzzy memoryuk_UA
dc.subjectneuro-fuzzy systemuk_UA
dc.titleFast medical diagnostics using autoassociative neuro-fuzzy memoryuk_UA
dc.typeArticleuk_UA
dspace.entity.typePublication

Файли

Оригінальний пакет
Зараз показано 1 - 1 з 1
Завантаження...
Зображення мініатюри
Назва:
16. 869-930-1-PB.pdf
Розмір:
794.3 KB
Формат:
Adobe Portable Document Format
Опис:
основная статья
Ліцензійний пакет
Зараз показано 1 - 1 з 1
Немає доступних мініатюр
Назва:
license.txt
Розмір:
9.42 KB
Формат:
Item-specific license agreed upon to submission
Опис: