Title :
An evolving neuro-fuzzy system for online fuzzy clustering
Author :
Yevgeniy Bodyanskiy;Oleksii Tyshchenko;Daria Kopaliani
Author_Institution :
Control Systems Research Laboratory, Kharkiv National University of Radio Electronics, 14 Lenin Ave, Kharkiv, 61166, Ukraine
Abstract :
An evolving neuro-fuzzy system and its online learning procedure are proposed in this paper. The system is based on nodes of a special type. A quality estimation process is defined by finding an optimal value of the used cluster validity index.
Keywords :
"Clustering algorithms","Fuzzy systems","Indexes","Neural networks","Adaptive systems","Algorithm design and analysis"
Conference_Titel :
Scientific and Technical Conference "Computer Sciences and Information Technologies" (CSIT), 2015 Xth International
DOI :
10.1109/STC-CSIT.2015.7325456
