| Status | 已發表Published |
| Equivalence between fuzzy logic systems and feed-forward neural networks | |
| Li Hongxing; Chen C.L.Philip | |
| 1999-12-01 | |
| Source Publication | Intelligent Engineering Systems Through Artificial Neural Networks
 |
| Volume | 9 |
| Pages | 535-540 |
| Abstract | This paper demonstrates that fuzzy logic systems and feed-forward neural networks are equivalent in essence. We define a rectangular wave neural network and prove that nonlinear neural networks can be represented by rectangular wave neural networks. Based on this result, we prove the equivalence between fuzzy logic systems and feed-forward neural networks. This result provides us a very useful guideline when we design a fuzzy logic system. |
| URL | View the original |
| Language | 英語English |
| Fulltext Access | |
| Document Type | Conference paper |
| Collection | University of Macau |
| Affiliation | Wright State University |
| Recommended Citation GB/T 7714 | Li Hongxing,Chen C.L.Philip. Equivalence between fuzzy logic systems and feed-forward neural networks[C], 1999, 535-540. |
| APA | Li Hongxing., & Chen C.L.Philip (1999). Equivalence between fuzzy logic systems and feed-forward neural networks. Intelligent Engineering Systems Through Artificial Neural Networks, 9, 535-540. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment