A Fuzzy Neural Network Based on Hierarchical Space Partitioning
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | The 1997 IEEE International Conference on Neural Networks Proceedings |
| Publisher | IEEE |
| Pages | 414-419 |
| Volume | 1 |
| ISBN (Print) | 0780341228, 0780341236 |
| Publication status | Published - Jun 1997 |
| Externally published | Yes |
Conference
| Title | 1997 IEEE International Conference on Neural Networks (ICNN'97) |
|---|---|
| Location | Westin Galleria Hotel |
| Place | United States |
| City | Houston, Texas |
| Period | 9 - 12 June 1997 |
Link(s)
Abstract
A self-organized and adaptive fuzzy system implemented in the framework of sigmoid function neural networks is proposed. The proposed fuzzy neural network adopts the hierarchical space partitioning method so that it can generate its rules and optimize its membership functions by its hybrid algorithm. Simulation is presented to demonstrate the performance of the proposed scheme.
Citation Format(s)
A Fuzzy Neural Network Based on Hierarchical Space Partitioning. / CHAK, Chu Kwong; FENG, Gang; PALANISWAMI, Marimuthu.
The 1997 IEEE International Conference on Neural Networks Proceedings. Vol. 1 IEEE, 1997. p. 414-419.Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
