Deep Probabilistic Principal Component Analysis for Process Monitoring-Reference-Cited by-同舟云学术

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Deep Probabilistic Principal Component Analysis for Process Monitoring

Published:2024 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Kong Xiangyin¹^ORCID,He Yimeng¹^ORCID,Song Zhihuan¹^ORCID,Liu Tong²^ORCID,Ge Zhiqiang³^ORCID

Affiliation:

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

2. Department of Computer Science, The University of Sheffield, Sheffield, U.K.

3. Peng Cheng Laboratory, Shenzhen, China

Funder

National Natural Science Foundation of China

National Science and Technology Major Project of China

Jiangsu Provincial Scientific Research Center of Applied Mathematics

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10507044.pdf?arnumber=10507044

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