Traceability and analysis method for measurement laboratory testing data based on intelligent Internet of Things and deep belief network

A traceability and analysis method for measurement laboratory testing data based on the intelligent Internet of Things (IoT) and deep belief network (DBN) is proposed to address the issue of low accuracy in identifying anomalies in measurement testing data and difficulty in identifying the causes of...

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Hlavní autoři:	He PeiDong, Li XiaoJun, Shen WenQi, Deng ShuYu, Xiao Li, Zhang Yang Fan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	De Gruyter 2024-10-01
Edice:	Journal of Intelligent Systems
Témata:	intelligent iot deep belief network metrology laboratory data traceability abnormal analysis stacked denoising autoencoder model cosine similarity gaussian bernoulli restricted boltzmann machine cloud-management-edge-end
On-line přístup:	https://doi.org/10.1515/jisys-2024-0076
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