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Combining traditional and neural-based techniques for ink feed control in a newspaper printing press
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).ORCID iD: 0000-0002-1043-8773
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).ORCID iD: 0000-0003-2185-8973
2007 (English)In: Advances in Data Mining: Theoretical Aspects and Applications, Proceedings / [ed] Perner, P., Berlin / Heidelberg: Springer Berlin/Heidelberg, 2007, p. 214-227Conference paper, Published paper (Refereed)
Abstract [en]

A SOM based model combination strategy, allowing to create adaptive – data dependent – committees, is proposed. Both, models included into a committee and aggregation weights are specific for each input data point analyzed. The possibility to detect outliers is one more characteristic feature of the strategy.

Place, publisher, year, edition, pages
Berlin / Heidelberg: Springer Berlin/Heidelberg, 2007. p. 214-227
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; Volume 4597/2007
Keywords [en]
Ink feed control, Newspaper printing press
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hh:diva-1068DOI: 10.1007/11427391_73ISI: 000248147700017Scopus ID: 2-s2.0-37249052407Local ID: 2082/1438ISBN: 978-3-540-73434-5 OAI: oai:DiVA.org:hh-1068DiVA, id: diva2:238286
Conference
7th Industrial Conference on Data Mining, Leipzig, GERMANY, JUL 14-18, 2007
Available from: 2007-12-28 Created: 2007-12-28 Last updated: 2018-01-13Bibliographically approved

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Publisher's full textScopusThe original publication is available at www.springerlink.com

Authority records BETA

Englund, CristoferVerikas, Antanas

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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