Name
Abstract | ||
|---|---|---|
This paper describes a novel non-linear modelling approach by online clustering, fuzzy rules and support vector machine. Structure identification is realised by an online clustering method and fuzzy support vector machines, and the fuzzy rules are generated automatically. Time-varying learning rates are applied for updating the membership functions of the fuzzy rules. Finally, the upper bounds of the modelling errors are proven. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1504/IJMIC.2008.021088 | INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL |
Keywords | Field | DocType |
identification, clustering, fuzzy systems, support vector machines | Fuzzy clustering,Data mining,Neuro-fuzzy,Defuzzification,Fuzzy classification,Fuzzy set operations,Fuzzy logic,Artificial intelligence,Fuzzy associative matrix,Fuzzy number,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
4 | 2 | 1746-6172 |
Citations | PageRank | References |
5 | 0.64 | 16 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Julio César Tovar | 1 | 5 | 0.64 |
| Wen Yu | 2 | 283 | 22.70 |