Variational PLS-Based Calibration Model Building With Semi-Supervised Learning for Moisture Measurement During Fluidized Bed Drying by NIR Spectroscopy-Reference-Cited by-同舟云学术

Variational PLS-Based Calibration Model Building With Semi-Supervised Learning for Moisture Measurement During Fluidized Bed Drying by NIR Spectroscopy

Published:2022 Issue: Volume:71 Page:1-13
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Mu Guoqing¹^ORCID,Liu Tao¹^ORCID,Chen Junghui²^ORCID,Shang Chao³^ORCID,Zhong Chongquan¹^ORCID

Affiliation:

1. Institute of Advanced Control Technology, Dalian University of Technology, Dalian, China

2. Department of Chemical Engineering, Chung Yuan Christian University, Taoyuan, Taiwan

3. Department of Automation, Tsinghua University, Beijing, China

Funder

NSF China

Talent Project of Revitalizing Liaoning

Ministry of Science and Technology, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9717300/09885225.pdf?arnumber=9885225

Reference34 articles.

1. The structure of water and methanol adsorbed on silica gel by FT-NIR spectroscopy

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3. A multimode process monitoring strategy via improved variational inference Gaussian mixture model based on locality preserving projections

4. Bayesian Sparse Partial Least Squares

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