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Zhaohui Gao1, Huan Mo2, Zicheng Yan2

  • 1Intelligent Transportation System Research Center, Southeast University, Nanjing 211189, China.

PubMed
概括

一种新的多式多目的特征选择 (MMOFS) 方法优化了无人公路收费站的分类. 这种方法平衡了特征选择的复杂性和准确性,为智能收费站开发提供了实际指导.

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