array(2) { ["lab"]=> string(3) "868" ["publication"]=> string(4) "6369" } Feature Selection for Cotton Foreign Fiber Objects Based on PSO Algorithm - Computer Vision Research Group（计算机视觉实验室） | LabXing

Computer Vision Research Group（计算机视觉实验室）

简介 计算机视觉与图像处理

大学 中国农业大学 / 信息与电气工程学院
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Feature Selection for Cotton Foreign Fiber Objects Based on PSO Algorithm

2012
书籍 Computer and Computing Technologies in Agriculture V
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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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