Feature selection can remove redundant features to enhance the effect of diagnosis.
特征选择可以去除原始特征中的冗余特征,提高诊断精度和诊断效率。
To get more precise fusion features by clearing redundant features, we propose a feature selection method based on multi-object evolution algorithm.
为了获得更精简的特征序列,去除冗余特征,在特征约减方面,提出了基于多目标遗传算法的虹膜融合特征约减方法;
Support for redundant power supplies and other features can be hard to find.
对于冗余电源和其他特性的支持可能很难找到。
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