Publication:
The investigation of effects of digital proofing systems used in colour management on print quality with neural networks

dc.contributor.authorŞAHİNBAŞKAN, TÜRKÜN
dc.contributor.authorsKose, Erdogan; Sahinbaskan, Tuerkuen; Guler, Inan
dc.date.accessioned2022-03-12T17:38:18Z
dc.date.accessioned2026-01-11T17:35:58Z
dc.date.available2022-03-12T17:38:18Z
dc.date.issued2009
dc.description.abstractThe aim of this study is to assist users and to determine how digital proofing systems used in colour management effect print qualities. Also the main theme of this study is to determine the effects of digital proofing systems used in colour management on print quality by artificial neural network (ANN). The R 2 values are obtained 0.99702 and 0.99688 for training data as matte and cuated papers, respectively. Similarly, these values for testing data are 0.994707 and 0.99629, respectively. The ANN approach shows greater accuracy for evaluating colour management. Based on the outputs of the study, ANN model can be used to estimate the effects of digital proofing systems used in colour management on print quality with highly confidence. (C) 2007 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.eswa.2007.10.025
dc.identifier.issn0957-4174
dc.identifier.urihttps://hdl.handle.net/11424/229468
dc.identifier.wosWOS:000264182800074
dc.language.isoeng
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartofEXPERT SYSTEMS WITH APPLICATIONS
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectColour management
dc.subjectDigital proofing
dc.subjectOffset printing
dc.subjectCalibration
dc.subjectPrint quality
dc.subjectArtificial neural network
dc.subjectBLOOD-FLOW SIGNALS
dc.subjectALGORITHM
dc.titleThe investigation of effects of digital proofing systems used in colour management on print quality with neural networks
dc.typearticle
dspace.entity.typePublication
oaire.citation.endPage754
oaire.citation.issue1
oaire.citation.startPage745
oaire.citation.titleEXPERT SYSTEMS WITH APPLICATIONS
oaire.citation.volume36

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