摘要
An incremental type of fuzzy dynamic model suitable for one-step-ahead prediction of non-linear dynamic processes is presented and analysed. It is realized by a two-dimensional fuzzy inference procedure with inputs being the change-of-input and change-of-output of the process. Another second-level fuzzy tuning block is used to recursively update the scaling factors (borders of the membership functions) of the first inference procedure. Thus the proposed method is able to predict high-order non-linear or time varying processes by means of only 2 two-dimensional fuzzy inference procedures.
| 源语言 | 英语 |
|---|---|
| 页 | 1807-1812 |
| 页数 | 6 |
| 出版状态 | 已出版 - 1996 |
| 已对外发布 | 是 |
| 活动 | Proceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3) - New Orleans, LA, USA 期限: 8 9月 1996 → 11 9月 1996 |
会议
| 会议 | Proceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3) |
|---|---|
| 市 | New Orleans, LA, USA |
| 时期 | 8/09/96 → 11/09/96 |
指纹
探究 'Reducing the high dimensionality problem in fuzzy dynamic models' 的科研主题。它们共同构成独一无二的指纹。引用此
Vachkov, G., & Hirota, K. (1996). Reducing the high dimensionality problem in fuzzy dynamic models. 1807-1812. 论文发表于 Proceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3), New Orleans, LA, USA.