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A SOM-based data mining strategy for adaptive modelling of an offset lithographic printing process
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS).ORCID-id: 0000-0002-1043-8773
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligenta system (IS-lab).ORCID-id: 0000-0003-2185-8973
2007 (Engelska)Ingår i: Engineering applications of artificial intelligence, ISSN 0952-1976, E-ISSN 1873-6769, Vol. 20, nr 3, s. 391-400Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

This paper is concerned with a SOM-based data mining strategy for adaptive modelling of a slowly varying process. The aim is to follow the process in a way that makes a representative up-to-date data set of a reasonable size available at any time. The technique developed allows analysis and filtering of redundant data, detection of the need to update the process models and the core-module of the system itself and creation of process models of adaptive, data-dependent complexity. Experimental investigations performed using data from a slowly varying offset lithographic printing process have shown that the tools developed can follow the process and make the necessary adaptations of the data set and the process models. A low-process modelling error has been obtained by employing data-dependent committees for modelling the process.

Ort, förlag, år, upplaga, sidor
Oxford: Pergamon Press, 2007. Vol. 20, nr 3, s. 391-400
Nyckelord [en]
Adaptive modelling, Data mining, Self-organizing map, Committee, Neural networks
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:hh:diva-1083DOI: 10.1016/j.engappai.2006.07.004ISI: 000245477700008Scopus ID: 2-s2.0-33847680074Lokalt ID: 2082/1459OAI: oai:DiVA.org:hh-1083DiVA, id: diva2:238301
Tillgänglig från: 2008-01-22 Skapad: 2008-01-22 Senast uppdaterad: 2018-01-13Bibliografiskt granskad

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Englund, CristoferVerikas, Antanas

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Engineering applications of artificial intelligence
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