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.
Domains
Computer Science [cs]| Origin | Files produced by the author(s) |
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