Title :
A fuzzy neural classifier for pattern classification
Author :
Cai, Yaling ; Kwan, Hon Koung
Author_Institution :
Dept. of Electr. Eng., Windsor Univ., Ont., Canada
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;
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
DOI :
10.1109/ISCAS.1993.394239
