Interpretable, online soft-sensors for process control

Mark Eastwood, P. Kadlec

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)
Original languageEnglish
Title of host publicationData Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on
EditorsM. Spiliopoulou, H. Wang, D. Cook, J. Pei, W. Wang, O. Zaïane, X. Wu
PublisherIEEE
Pages581-587
ISBN (Print)9781467300056
DOIs
Publication statusPublished - 2011

Bibliographical note

The full text is not available from the repository. Please note Mark Eastwood was working at Bournemouth University at the time of publication. Paper presented at the IEEE 11th International Conference on Data Mining Workshops (ICDMW), 2011, and published in the proceedings.
© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Keywords

  • adaptive decision trees
  • adaptive soft sensor
  • online feedback
  • online soft sensors
  • process control

Cite this

Eastwood, M., & Kadlec, P. (2011). Interpretable, online soft-sensors for process control. In M. Spiliopoulou, H. Wang, D. Cook, J. Pei, W. Wang, O. Zaïane, & X. Wu (Eds.), Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on (pp. 581-587). IEEE. https://doi.org/10.1109/ICDMW.2011.105