Name
Title | ||
|---|---|---|
Bayesian Takagi-Sugeno-Kang Fuzzy Model and Its Joint Learning of Structure Identification and Parameter Estimation. |
Abstract | ||
|---|---|---|
In this paper, a novel Bayesian Takagi-Sugeno- Kang (BTSK) fuzzy model and its joint learning method BTSK-JL of structure identification and parameter estimation are proposed for regression tasks from the perspective of Bayesian inference framework with a prior assumption about the number of fuzzy rules. Unlike most of existing TSK fuzzy systems where both their structure identification and parame... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TII.2018.2813977 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Fuzzy systems,Bayes methods,Parameter estimation,Learning systems,Task analysis,Particle filters,Indexes | Bayesian inference,Computer science,Particle filter,Fuzzy logic,Algorithm,Control engineering,Input/output,Fuzzy control system,Estimation theory,Bayesian probability,Fuzzy rule | Journal |
Volume | Issue | ISSN |
14 | 12 | 1551-3203 |
Citations | PageRank | References |
4 | 0.43 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoqing Gu | 1 | 44 | 9.30 |
| Shitong Wang | 2 | 20 | 2.33 |