Dynamic soft sensors with active forward-update learning for selection of useful data from historical big database-Reference-Cited by-同舟云学术

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Dynamic soft sensors with active forward-update learning for selection of useful data from historical big database

Published:2018-04 Issue: Volume:175 Page:87-103
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Chan Lester Lik Teck,Wu Qing-Yang,Chen Junghui

Funder

Ministry of Science and Technology, R.O.C

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference25 articles.

1. Mixture semisupervised principal component regression model and soft sensor application;Ge;AIChE J.,2014

2. External analysis-based regression model for robust soft sensing of multimode chemical processes;Ge;AIChE J.,2014

3. Probabilistic slow feature analysis-based representation learning from massive process data for soft sensor modeling;Shang;AIChE J.,2015

4. Enhancing dynamic soft sensors based on DPLS: a temporal smoothness regularization approach;Shang;J. Process Contr.,2015

5. Inferential control system of distillation compositions using dynamic partial least squares regression;Kano;J. Process Contr.,2000

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