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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Detalhes bibliográficos

Principais autores:	He PeiDong, Li XiaoJun, Shen WenQi, Deng ShuYu, Xiao Li, Zhang Yang Fan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	De Gruyter 2024-10-01
Colecção:	Journal of Intelligent Systems
Assuntos:	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
Acesso em linha:	https://doi.org/10.1515/jisys-2024-0076
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