计算机科学
物联网
跟踪(教育)
供应链
链条(单位)
供应链管理
人工智能
实时计算
嵌入式系统
政治学
法学
心理学
教育学
物理
天文
作者
Zhongping Dong,Wei Liang,Yan Liang,Weibo Gao,Yi Lu
标识
DOI:10.1186/s13638-022-02209-0
摘要
When it comes to running and managing modern supply chains, 6G Internet of things (IoT) is of utmost importance. To provide IoT with security and automation, blockchain and machine learning are two upper-layer technology that can help. First, we propose to utilize blockchain in modern supply chains to ensure efficient collaboration between all parties. Second, we adopt multi-head attention (MHA)-based gated recurrent unit (GRU) to do inbound logistics task prediction. Finally, numerical results justify that multi-head attention-based GRU model has better fitting efficiency and prediction accuracy than its counterparts.
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