Name
Title | ||
|---|---|---|
Incremental Fuzzy C-Regression Clustering From Streaming Data for Local-Model-Network Identification. |
Abstract | ||
|---|---|---|
In this paper, a new approach to evolving fuzzy model identification from streaming data is given. The structure of the model is given as a local model network in Takagi-Sugeno form, and the partitioning of the input-output space is based on metrics in which these local models are defined as prototypes of the clusters. This means that the clusters and the local models share the same parameters; th... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TFUZZ.2019.2916036 | IEEE Transactions on Fuzzy Systems |
Keywords | DocType | Volume |
Prototypes,Clustering algorithms,Adaptation models,Data models,Partitioning algorithms,Takagi-Sugeno model,Linear programming | Journal | 28 |
Issue | ISSN | Citations |
4 | 1063-6706 | 4 |
PageRank | References | Authors |
0.38 | 13 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saso Blazic | 1 | 151 | 29.21 |
| Igor Skrjanc | 2 | 354 | 52.47 |