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Feature selection and bleach time modelling of paper pulp using tree based learners
Dalarna University, School of Technology and Business Studies, Computer Engineering.ORCID iD: 0000-0002-1429-2345
Dalarna University, School of Technology and Business Studies, Computer Engineering.
Dalarna University, School of Technology and Business Studies, Computer Engineering.
2016 (English)In: Web Information Systems Engineering – WISE 2016: 17th International Conference, Shanghai, China, November 8-10, 2016, Proceedings, Part I / [ed] Wojciech CellaryMohamed F. MokbelJianmin WangHua WangRui ZhouYanchun Zhang, China - Shanghai: Springer, 2016, Vol. 10042, 385-396 p.Conference paper, Published paper (Refereed)
Abstract [en]

Paper manufacturing is energy demanding and improvedmodelling of the pulp bleach process is the main non-invasive means ofreducing energy costs. In this paper, time it takes to bleach paper pulpto desired brightness is examined. The model currently used is analysedand benchmarked against two machine learning models (Random Forestand TreeBoost). Results suggests that the current model can be super-seded by the machine learning models and it does not use the optimalcompact subset of features. Despite the differences between the machinelearning models, a feature ranking correlation has been observed for thenew models. One novel, yet unused, feature that both machine learningmodels found to be important is the concentration of bleach agent.

Place, publisher, year, edition, pages
China - Shanghai: Springer, 2016. Vol. 10042, 385-396 p.
Series
Lecture Notes in Computer Science, E-ISSN 1611-3349
Keyword [en]
Feature selection, Machine learning, CFS, Random forest, TreeBoost, XGBoost, Paper manufacturing
National Category
Computer Systems
Research subject
Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-23410DOI: 10.1007/978-3-319-48743-4_31ISI: 000389505500031ISBN: 978-3-319-48742-7 (print)ISBN: 978-3-319-48743-4 (print)OAI: oai:DiVA.org:du-23410DiVA: diva2:1047928
Conference
17th International Conference on Web Information Systems Engineering (WISE)
Available from: 2016-11-19 Created: 2016-11-19 Last updated: 2017-03-29Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf