View source for Publications:A SOM-based data mining strategy for adaptive modelling of an offset lithographic printing process

<div style='display: none'>
== Do not edit this section ==
</div>
{{PublicationSetupTemplate|Author=Cristofer Englund, Antanas Verikas
|PID=238301
|Name=Englund, Cristofer [cren] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905], Halmstad Embedded and Intelligent Systems Research (EIS) [3938]);Verikas, Antanas [av] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905], Halmstad Embedded and Intelligent Systems Research (EIS) [3938], Intelligenta system (IS-lab) [3941])
|Title=A SOM-based data mining strategy for adaptive modelling of an offset lithographic printing process
|PublicationType=Journal Paper
|ContentType=Refereegranskat
|Language=eng
|Journal=Engineering applications of artificial intelligence
|JournalISSN=0952-1976
|Status=published
|Volume=20
|Issue=3
|HostPublication=
|Conference=
|StartPage=391
|EndPage=400
|Year=2007
|Edition=
|Pages=
|City=Oxford
|Publisher=Pergamon Press
|Series=
|SeriesISSN=
|ISBN=
|Urls=
|ISRN=
|DOI=http://dx.doi.org/10.1016/j.engappai.2006.07.004
|ISI=000245477700008
|PMID=
|ScopusId=2-s2.0-33847680074
|NBN=urn:nbn:se:hh:diva-1083
|LocalId=2082/1459
|ArchiveNumber=
|Keywords=Adaptive modelling;Data mining;Self-organizing map;Committee;Neural networks
|Categories=Datavetenskap (datalogi) (10201)
|ResearchSubjects=
|Projects=
|Notes=
|Abstract=<p>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.</p>
|Opponents=
|Supervisors=
|Examiners=
|Patent=
|ThesisLevel=
|Credits=
|Programme=
|Subject=
|Uppsok=
|DefencePlace=
|DefenceLanguage=
|DefenceDate=
|CreatedDate=2008-01-22
|PublicationDate=2008-01-22
|LastUpdated=2012-09-28
|diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:238301}}
<div style='display: none'>

== Keep all hand-made modifications below ==
</div>{{PublicationDisplayTemplate}}