Публікація: Evolving flexible neuro-fuzzy system for medical diagnostic tasks
| dc.contributor.author | Turuta, O. | |
| dc.contributor.author | Perova, I. | |
| dc.contributor.author | Deineko, A. O. | |
| dc.date.accessioned | 2018-09-17T08:16:01Z | |
| dc.date.available | 2018-09-17T08:16:01Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | In the paper architecture and training method for evolving flexible diagnostic neuro-fuzzy-system are investigated. The proposed system is simple in numeric realization and characterized by a high learning rate and flexibility, that make possible to use it in conditions of small training sets and on big data sets, coming to processing in online-mode. | uk_UA |
| dc.identifier.citation | Turuta O. Evolving flexible neuro-fuzzy system for medical diagnostic tasks / O. Turuta, I. Perova, A. Deineko // International Journal of Computer Science and Mobile Computing IJCSMC. -2015. -Vol.4, Issue 8. P. 475-480 | uk_UA |
| dc.identifier.uri | http://openarchive.nure.ua/handle/document/6901 | |
| dc.language.iso | en | uk_UA |
| dc.publisher | IJCSMC | uk_UA |
| dc.subject | Medical Data Mining | uk_UA |
| dc.subject | Data Stream Mining | uk_UA |
| dc.subject | diagnostic neuro-fuzzy system (DNFS) | uk_UA |
| dc.title | Evolving flexible neuro-fuzzy system for medical diagnostic tasks | uk_UA |
| dc.type | Article | uk_UA |
| dspace.entity.type | Publication |
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