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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Veröffentlicht in:	Journal of intelligent systems Jg. 33; H. 1; S. 6821 - 30
Hauptverfasser:	He, PeiDong, Li, XiaoJun, Shen, WenQi, Deng, ShuYu, Xiao, Li, Zhang, Yang Fan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	De Gruyter 04.10.2024
Schlagworte:	abnormal analysis cloud-management-edge-end cosine similarity data traceability deep belief network gaussian Bernoulli restricted Boltzmann machine intelligent IoT metrology laboratory stacked denoising autoencoder model
ISSN:	2191-026X, 2191-026X
Online-Zugang:	Volltext
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