Fuzzy associative memory pattern classifier

Zhong Xue, Xinbo Gao, Weixin Xie

Research output: Chapter in Book/Report/Conference proceedingChapter

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 languageEnglish
Title of host publicationInternational Conference on Signal Processing Proceedings, ICSP
Place of PublicationPiscataway, NJ, United States
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1217-1220
Number of pages4
Volume2
StatePublished - Dec 1 1998
EventProceedings of the 1998 4th International Conference on Signal Processing Proceedings, ICSP '98 - Beijing, China
Duration: Oct 12 1998Oct 16 1998

Other

OtherProceedings of the 1998 4th International Conference on Signal Processing Proceedings, ICSP '98
CityBeijing, China
Period10/12/9810/16/98

ASJC Scopus subject areas

  • Signal Processing

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