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Co-training partial least squares model for semi-supervised soft sensor development

  • Published:2015-10 Issue: Volume:147 Page:75-85
  • ISSN:0169-7439
  • Container-title:Chemometrics and Intelligent Laboratory Systems
  • language:en
  • Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Bao Liang,Yuan Xiaofeng,Ge Zhiqiang

Funder

National Natural Science Foundation of China

National Project 973

Publisher

Elsevier BV

Subject

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

Reference29 articles.

1. Soft sensors for monitoring and control of industrial processes;Fortuna,2007

2. Batch process monitoring based on support vector data description method;Ge;J. Process Control,2011

3. Data-driven soft sensors in the process industry;Kadlec;Comput. Chem. Eng.,2009

4. Design of inferential sensors in the process industry: a review of Bayesian methods;Khatibisepehr;J. Process Control,2013

5. Review of recent research on data-based process monitoring;Ge;Ind. Eng. Chem. Res.,2013
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