摘要
A hybrid approach for fuzzy system design based on clustering and a kind of neurofuzzy networks is proposed. An unsupervised clustering technique is firstly used to determine the number of if-then fuzzy rules and generate an initial fuzzy rule base from the given input-output data. Then, a class of neurofuzzy networks is constructed and its weights are tuned so that the obtained fuzzy rule base has a high accuracy. Finally, two examples of function approximation problems are given to illustrate the effectiveness of the proposed approach.
| 源语言 | 英语 |
|---|---|
| 页（从-至） | 299-303 |
| 页数 | 5 |
| 期刊 | Journal of Systems Engineering and Electronics |
| 卷 | 15 |
| 期 | 3 |
| 出版状态 | 已出版 - 9月 2004 |