,

Xiao Tan1, Jianfeng Yang1, Zhengang Zhao2

  • 1School of Electronic Information, Wuhan University, Wuhan 430072, China.

PubMed
概括

这项研究通过改进图形卷积网络 (GCNs) 来增强工业4.0的图形异常检测 (GAD). 这种新的方法有效地识别出异常,即使只有很少的标记数据点.

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