DocumentCode
305390
Title
Study on feature weight and feature selection in pattern classification neural networks
Author
Li, Rui-Ping ; Mukaidono, Masao ; Turksen, I. Burhan
Author_Institution
Dept. of Ind. Eng., Toronto Univ., Ont., Canada
Volume
3
fYear
1996
fDate
14-17 Oct 1996
Firstpage
1972
Abstract
Pattern recognition have two major topics: 1) pattern classification; and 2) feature selection. Study on the later is seldom been found from published papers. This paper considers these two problems at the same time. We design an artificial neural network for pattern classification and feature selection. We also introduce our design thought in detailed. Two examples are used to illustrate our approach
Keywords
Hebbian learning; feature extraction; fuzzy logic; fuzzy neural nets; pattern classification; feature selection; feature weight; fuzzy logic; fuzzy neural networks; neural networks; pattern classification; proportional learning vector quantisation; Artificial neural networks; Computer industry; Fuzzy set theory; Fuzzy sets; Humans; Linear discriminant analysis; Neural networks; Neurons; Pattern classification; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location
Beijing
ISSN
1062-922X
Print_ISBN
0-7803-3280-6
Type
conf
DOI
10.1109/ICSMC.1996.565427
Filename
565427
Link To Document