Paper Info
Title
Feature selection based on improved ant colony optimization for online detection of foreign fiber in cotton.
Abstract
•A feature selection method for online detection of cotton foreign fiber is presented.•The proposed method efficiently finds the excellent subset in multi-character feature sets.•The selected sets by proposed method efficiently reduce the time of online detection.•The proposed method improves the performance of industrial equipment.
Year
DOI
Venue
2014
10.1016/j.asoc.2014.07.024
Applied Soft Computing
Keywords
Field
DocType
Foreign fibers in cotton,Online detection,Feature selection,Ant colony optimization,Group constraint
Ant colony optimization algorithms,Convergence (routing),Data mining,Feature selection,Feature set,Artificial intelligence,Feature vector,Fiber,Pattern recognition,Feature (computer vision),Industrial equipment,Machine learning,Mathematics
Journal
Volume
ISSN
Citations 
24
1568-4946
27
PageRank 
References 
Authors
0.66
20
6
Name
Order
Citations
PageRank
Xuehua Zhao123815.23
Daoliang Li233481.09
Bo Yang382264.08
Chao Ma4270.66
Yungang Zhu5314.52
Hui-Ling Chen665526.09