DocumentCode
2942201
Title
A fuzzy inference network for classification
Author
Cai, Y. ; Kwan, H.K.
Author_Institution
Dept. of Electr. Eng., Windsor Univ., Ont., Canada
Volume
5
fYear
1995
fDate
9-12 May 1995
Firstpage
3499
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location
Detroit, MI
ISSN
1520-6149
Print_ISBN
0-7803-2431-5
Type
conf
DOI
10.1109/ICASSP.1995.479740
Filename
479740
Link To Document