DocumentCode
2613417
Title
A fuzzy neural classifier for pattern classification
Author
Cai, Yaling ; Kwan, Hon Koung
Author_Institution
Dept. of Electr. Eng., Windsor Univ., Ont., Canada
fYear
1993
fDate
3-6 May 1993
Firstpage
2367
Abstract
A novel fuzzy neural classifier (FNC) and its learning algorithm are proposed. This FNC can learn the membership function of each fuzzy class from training samples. The learning speed of the FNC is fast. Simulation results on the learning and estimation of the membership functions of one-dimensional samples are presented
Keywords
fuzzy neural nets; learning (artificial intelligence); FNC; fuzzy class; fuzzy neural classifier; learning algorithm; learning speed; membership function; one-dimensional samples; pattern classification; training samples; Classification algorithms; Councils; Fuzzy neural networks; Heuristic algorithms; Neural networks; Neurons; Pattern classification; Probability; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location
Chicago, IL
Print_ISBN
0-7803-1281-3
Type
conf
DOI
10.1109/ISCAS.1993.394239
Filename
394239
Link To Document