DocumentCode
2497883
Title
A method of pattern classification based on RS and NCA
Author
Wang, Lun-Wen ; Zhang, Ling ; Zhang, Min
Author_Institution
Res. Room, Electron. Eng. Inst., Hebei, China
Volume
5
fYear
2003
fDate
2-5 Nov. 2003
Firstpage
3090
Abstract
In this paper, we compared the advantages and disadvantages of rough set theory (RS) and neighborhood covering algorithm (NCA). A classification method which combines RS with NCA is proposed. Theoretical analysis shows the rationality, feasibility of our method. Experimental results of the recognition of wireless communication signals are given as an example to show the efficiency and practicability of this approach.
Keywords
pattern classification; rough set theory; signal processing; NCA; RS; neighborhood covering algorithm; pattern classification; rough set theory; theoretical analysis; wireless communication signal recognition; Artificial intelligence; Classification algorithms; Databases; Internet; Neural networks; Neurons; Partial response channels; Pattern classification; Pattern recognition; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN
0-7803-8131-9
Type
conf
DOI
10.1109/ICMLC.2003.1260109
Filename
1260109
Link To Document