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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1260109
