| Hierarchical fuzzy neural network based on module fuzzy subsystems | |
| Liu Fang ; Liu Min ; Wu Cheng | |
| 2010-05-06 ; 2010-05-06 | |
| 关键词 | Theoretical or Mathematical/ fuzzy neural nets fuzzy systems/ hierarchical fuzzy neural network module fuzzy subsystems ellipsoidal basis function Takagi-Sugeno-Kang fuzzy system dimensionality curse fuzzy rule-base/ C1230D Neural nets C1160 Combinatorial mathematics |
| 中文摘要 | A hierarchical fuzzy neural network based on module fuzzy subsystems (HM-FNNs) is proposed, which is built based on ellipsoidal basis function and is equivalent to a Takagi-Sugeno-Kang fuzzy system functionally. The HM-FNNs not only retains the full benefits of a traditional FNNs but also suppress the effects of the unwanted phenomenon, "the curse of dimensionality". It also offers one great advantage that all rule fire strengths are strong on average when passing through subsystem layers. The simulation results show that the proposed method can produce the compact and high performance fuzzy rule-base. |
| 语种 | 中文 ; 中文 |
| 出版者 | Northeastern Univ ; China |
| 内容类型 | 期刊论文 |
| 源URL | [http://hdl.handle.net/123456789/9145]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | Liu Fang,Liu Min,Wu Cheng. Hierarchical fuzzy neural network based on module fuzzy subsystems[J],2010, 2010. |
| APA | Liu Fang,Liu Min,&Wu Cheng.(2010).Hierarchical fuzzy neural network based on module fuzzy subsystems.. |
| MLA | Liu Fang,et al."Hierarchical fuzzy neural network based on module fuzzy subsystems".(2010). |
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