Name
Abstract | ||
|---|---|---|
In this paper a new algorithm for the learning of Takagi-Sugeno fuzzy systems is introduced. In the algorithm different learning techniques are applied for the antecedent and the consequent parameters of the fuzzy system. We propose a hybrid method for the antecedent parameters learning based on the combination of the bacterial evolutionary algorithm (BEA) and the Levenberg-Marquardt (LM) method. For the linear parameters in fuzzy systems appearing in the rule consequents the least squares (LS) and the recursive least squares (RLS) techniques are applied, which will lead to a global optimal solution of linear parameter vectors in the least squares sense. Therefore a better performance can be guaranteed than with a complete learning by BEA and LM. The paper is concluded by evaluation results based on high-dimensional test data. These evaluation results compare the new method with some conventional fuzzy training methods with respect to approximation accuracy and model complexity. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/FUZZY.2006.1682014 | Vancouver, BC |
Keywords | Field | DocType |
evolutionary computation,fuzzy reasoning,fuzzy set theory,fuzzy systems,learning (artificial intelligence),least squares approximations,recursive functions,Levenberg-Marquardt method,Takagi-Sugeno fuzzy system,antecedent parameter learning,approximation accuracy,bacterial evolutionary algorithm,consequent parameter learning,conventional fuzzy training method,hybrid method,linear parameter vector,model complexity,recursive least square technique | Least squares,Mathematical optimization,Evolutionary algorithm,Linear system,Computer science,Fuzzy logic,Evolutionary computation,Fuzzy set,Artificial intelligence,Fuzzy control system,Recursive least squares filter,Machine learning | Conference |
ISSN | ISBN | Citations |
1098-7584 | 0-7803-9488-7 | 7 |
PageRank | References | Authors |
0.57 | 9 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| János Botzheim | 1 | 175 | 23.57 |
| Edwin Lughofer | 2 | 1940 | 99.72 |
| Erich Peter Klement | 3 | 989 | 128.89 |
| László T. Kóczy | 4 | 979 | 107.44 |
| T. D. Gedeon | 5 | 1255 | 86.44 |