| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4947092 | Neurocomputing | 2017 | 29 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani,