Title :
A fuzzy inference network for classification
Author :
Cai, Y. ; Kwan, H.K.
Author_Institution :
Dept. of Electr. Eng., Windsor Univ., Ont., Canada
Abstract :
A fuzzy inference network (FIN) is proposed. The proposed FIN preserves the advantages of both fuzzy classification algorithm and neural networks. It can learn membership functions directly from training samples and classify patterns according to the membership values. As efficient self-organizing learning algorithm is also presented
Keywords :
fuzzy neural nets; inference mechanisms; learning (artificial intelligence); pattern classification; self-organising feature maps; fuzzy classification algorithm; fuzzy inference network; fuzzy neural networks; membership functions; membership values; pattern classification; self-organizing learning algorithm; training samples; Backpropagation algorithms; Classification algorithms; Fuzzy neural networks; Inference algorithms; Neural networks; Neurons; Training data;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.479740
