Abstract
A fuzzy associative memory pattern classifier (FAMPC) based on fuzzy set maps and the generation method of fuzzy rules is presented at first. Secondly, a fuzzy neural network is developed to realize the classifier based on fuzzy-neural hybrid system theories. Finally, the advantages of FAMPC are shown with an experiment by comparing with the common method. The result shows that FAMPC can obtain satisfied recognition performance.
| Original language | English |
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| Title of host publication | International Conference on Signal Processing Proceedings, ICSP |
| Place of Publication | Piscataway, NJ, United States |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1217-1220 |
| Number of pages | 4 |
| Volume | 2 |
| State | Published - Dec 1 1998 |
| Event | Proceedings of the 1998 4th International Conference on Signal Processing Proceedings, ICSP '98 - Beijing, China Duration: Oct 12 1998 → Oct 16 1998 |
Other
| Other | Proceedings of the 1998 4th International Conference on Signal Processing Proceedings, ICSP '98 |
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| City | Beijing, China |
| Period | 10/12/98 → 10/16/98 |
ASJC Scopus subject areas
- Signal Processing