Abnormal Condition Identification Modeling Method Based on Bayesian Network Parameters Transfer Learning for the Electro-Fused Magnesia Smelting Process

Abnormal Condition Identification Modeling Method Based on Bayesian Network Parameters Transfer Learning for the Electro-Fused Magnesia Smelting Process

When the data of target domain are scarce, the established model will not be accurate enough to analyze the target problem. For the abnormal condition identification modeling problem of electro-fused magnesia smelting process, this paper proposes the new Bayesian network (BN) parameters transfer lea...

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Bibliographic Details
Main Authors: Ping Yuan, Yufeng Sun, Hui Li, Fuli Wang, Hongru Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Bayesian network
transfer learning
fused magnesium furnace
abnormal conditions identification
expert knowledge
Online Access:https://ieeexplore.ieee.org/document/8869761/

Internet

https://ieeexplore.ieee.org/document/8869761/

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