Title :
Associative memory system using fuzzy sets
Author :
Suzuki, Yukinori ; Konno, Norio ; Maeda, Junji
Author_Institution :
Dept. of Comput. Sci. & Syst. Eng., Muroran Inst. of Technol., Japan
Abstract :
An associative memory (AM) system using fuzzy sets is presented in this paper. Vectors to be stored in the AM are transformed into fuzzy sets. Fuzzy rules are constructed from the fuzzified vectors to associate vector when a stimulus vector is input to the AM system. Computational experiments are carried out to evaluate performance of the AM system. The experiments show that the AM system is responsive to feature of the stimulus vectors. In addition, the AM system performs more than 95% correct association rate until 20% of the binary valued elements of the stored vectors are flipped randomly from either zero or one
Keywords :
content-addressable storage; fuzzy set theory; AM system; associative memory system; binary valued elements; fuzzy rules; fuzzy sets; vectors; Associative memory; Computer science; Data mining; Design methodology; Fuzzy sets; Fuzzy systems; Image processing; Pattern recognition; Systems engineering and theory; Uncertainty;
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-8186-8512-3
DOI :
10.1109/ICPR.1998.711147