DocumentCode :
2233724
Title :
On methodology of fuzzy pattern recognition
Author :
Min, Yao
Author_Institution :
Dept. of Comput., Zhejiang Univ., Hangzhou, China
Volume :
3
fYear :
2001
fDate :
2001
Firstpage :
361
Abstract :
One of the characteristics in human brain is able to recognize fuzzy objects. Therefore, by introducing fuzzy set theory into pattern recognition and designing machine recognition systems with fuzzy techniques, it is possible to simulate recognition processing of human brain more widely and improve the practicability and reliability of a system. This paper discusses several essential problems, including fuzzy recognition principles, fuzzy syntactic recognition and neural network recognition
Keywords :
fuzzy set theory; neural nets; pattern recognition; reliability; fuzzy objects; fuzzy pattern recognition; fuzzy set theory; fuzzy syntactic recognition; neural network recognition; Brain modeling; Character recognition; Computational modeling; Fingerprint recognition; Fuzzy neural networks; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Humans; Pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Info-tech and Info-net, 2001. Proceedings. ICII 2001 - Beijing. 2001 International Conferences on
Conference_Location :
Beijing
Print_ISBN :
0-7803-7010-4
Type :
conf
DOI :
10.1109/ICII.2001.983083
Filename :
983083
Link To Document :
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