Feature Selection for Cotton Foreign Fiber Objects Based on PSO Algorithm
Résumé
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.
Domaines
Informatique [cs]| Origine | Fichiers produits par l'(les) auteur(s) |
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