Fast medical diagnostics using autoassociative neuro-fuzzy memory

Perova, I.; Bodyanskiy, Ye. V.

Публікація:
Fast medical diagnostics using autoassociative neuro-fuzzy memory

dc.contributor.author	Perova, I.
dc.contributor.author	Bodyanskiy, Ye. V.
dc.date.accessioned	2018-09-17T08:17:28Z
dc.date.available	2018-09-17T08:17:28Z
dc.date.issued	2017
dc.description.abstract	This 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.citation	Perova 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.uri	http://openarchive.nure.ua/handle/document/6904
dc.language.iso	en	uk_UA
dc.publisher	International Journal of Computing	uk_UA
dc.subject	medical diagnostics	uk_UA
dc.subject	medical data mining	uk_UA
dc.subject	computational intelligence	uk_UA
dc.subject	kernel fuzzy basis function	uk_UA
dc.subject	autoassociative neuro-fuzzy memory	uk_UA
dc.subject	neuro-fuzzy system	uk_UA
dc.title	Fast medical diagnostics using autoassociative neuro-fuzzy memory	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication