Lifelong Bayesian Learning Machines for Streaming Industrial Big Data-Reference-Cited by-同舟云学术

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Lifelong Bayesian Learning Machines for Streaming Industrial Big Data

Published:2023-03 Issue:3 Volume:53 Page:1554-1565
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Yang Zeyu¹^ORCID,Zheng Junhua²^ORCID,Ge Zhiqiang³^ORCID

Affiliation:

1. School of Engineering, Huzhou University, Huzhou, China

2. School of Automation and Electrical Engineering, Zhejiang University of Science and Technology, Hangzhou, China

3. State Key Laboratory of Industrial Control Technology and the College of Control Science and Engineering, Zhejiang University, Hangzhou, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Natural Science Foundation of Huzhou

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221021/10045573/09874385.pdf?arnumber=9874385

Reference43 articles.

1. Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data

2. Nonparametric Bayesian Prior Inducing Deep Network for Automatic Detection of Cognitive Status

3. Recent Advances in Key-Performance-Indicator Oriented Prognosis and Diagnosis With a MATLAB Toolbox: DB-KIT

4. Multimode Process Monitoring Using Variational Bayesian Inference and Canonical Correlation Analysis

5. Efficient Dynamic Latent Variable Analysis for High-Dimensional Time Series Data

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