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Feature Selection for Cotton Foreign Fiber Objects Based on PSO Algorithm

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.
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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⟩



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