Please use this identifier to cite or link to this item:
https://dspace.ncfu.ru/handle/20.500.12258/7117
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Evdokimov, A. A. | - |
dc.contributor.author | Евдокимов, А. А. | - |
dc.date.accessioned | 2019-09-09T13:13:01Z | - |
dc.date.available | 2019-09-09T13:13:01Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Evdokimov, A., Afonin, M. Adaptive finite ring neural network // IEEE 12th International Conference on Application of Information and Communication Technologies, AICT 2018 - Proceedings. - 2018. - Article number 8747166 | ru |
dc.identifier.uri | https://www.scopus.com/record/display.uri?eid=2-s2.0-85070215972&origin=resultslist&sort=plf-f&src=s&st1=Adaptive+finite+ring+neural+network&st2=&sid=00517e04cd9db0cd4826521d40659860&sot=b&sdt=b&sl=50&s=TITLE-ABS-KEY%28Adaptive+finite+ring+neural+network%29&relpos=0&citeCnt=0&searchTerm= | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12258/7117 | - |
dc.description.abstract | A new neural network structure of the modular reduction are presented. The new structure is oriented to learning by examples: the number of layers is fixed for any module, the slow approach to the resulting value is excluded, the result is the remainder modulo and does not require an adjustment. Developed three training algorithm of finite ring neural network: training sample inputs and desired outputs, training only on the desired output and training only for the sampling of input signals. The developed algorithms allow to adapt the finite ring neural network to the new module and, unlike the known solutions, do not require changing the network architecture | ru |
dc.language.iso | en | ru |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | ru |
dc.relation.ispartofseries | IEEE 12th International Conference on Application of Information and Communication Technologies, AICT 2018 - Proceedings | - |
dc.subject | Finite ring neural network | ru |
dc.subject | Modular reduction | ru |
dc.subject | Training algorithm | ru |
dc.title | Adaptive finite ring neural network | ru |
dc.type | Статья | ru |
vkr.inst | Невинномысский технологический институт (филиал) | - |
Appears in Collections: | Статьи, проиндексированные в SCOPUS, WOS |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
scopusresults 1011 .pdf Restricted Access | 84.46 kB | Adobe PDF | View/Open | |
WoS 688 .pdf Restricted Access | 77.9 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.