Feature Selection for Cotton Foreign Fiber Objects Based on PSO Algorithm - Computer and Computing Technologies in Agriculture V - Part III Access content directly
Conference Papers Year : 2012

Feature Selection for Cotton Foreign Fiber Objects Based on PSO Algorithm

Hengbin Li
  • Function : Author
  • PersonId : 988345
Wenzhu Yang
  • Function : Author
  • PersonId : 988346
Shuangxi Liu
  • Function : Author
  • PersonId : 988347
Zhenbo Li
  • Function : Author
  • PersonId : 988348
Daoliang Li
  • Function : Author
  • PersonId : 988349

Abstract

Due to large amount of calculation and slow speed of the feature selection for cotton fiber, a fast feature selection algorithm based on PSO was developed. It is searched by particle swarm optimization algorithm. Though search features by using PSO, it is reduced the number of classifier training and reduced the computational complexity. Experimental results indicate that, in the case of no loss of the classification performances, the method accelerates feature selection.
Fichier principal
Vignette du fichier
978-3-642-27275-2_50_Chapter.pdf (4 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01361171 , version 1 (06-09-2016)

Licence

Attribution

Identifiers

Cite

Hengbin Li, Jinxing Wang, Wenzhu Yang, Shuangxi Liu, Zhenbo Li, et al.. Feature Selection for Cotton Foreign Fiber Objects Based on PSO Algorithm. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. pp.446-452, ⟨10.1007/978-3-642-27275-2_50⟩. ⟨hal-01361171⟩
101 View
60 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More