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An evolving connectionist system for data stream fuzzy clustering and its online learning.
- Source :
-
Neurocomputing . Nov2017, Vol. 262, p41-56. 16p. - Publication Year :
- 2017
-
Abstract
- An evolving cascade neuro-fuzzy system and its online learning procedure are considered in this paper. The system is based on conventional Kohonen neurons. The proposed system solves a clustering task of non-stationary data streams under uncertainty conditions when data come in the form of a sequential stream in an online mode. A quality estimation process is defined by finding an optimal value of the used cluster validity index. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09252312
- Volume :
- 262
- Database :
- Academic Search Index
- Journal :
- Neurocomputing
- Publication Type :
- Academic Journal
- Accession number :
- 124248589
- Full Text :
- https://doi.org/10.1016/j.neucom.2017.03.081