Abstract
This study attempts to determinate color changes based on time in inks applied on the surface of wood-free uncoated paper with offset printing during drying. This study consists of two main cases: (1) Experimental analysis: By preparing a test page according to the 12647-2 principle with an offset printing system, test prints were applied to 120 g/m2 wood-free uncoated paper using an ECI 2002 CMYK test chart. Each press was measured being subject to process every 15 min in the first 2 h, then hour by hour between 2 and 12 h, then 4–4 h between 12 and 24 h, and then 6–6 h between 24 and 48 h. CIELAB and reflectance values between 380 and 720 nm of the target, 1,485 colors of the test chart were obtained. To see the drying and color changes of the ink on paper, changes were determined by printing on the paper and applying artificial neural network (ANN) to spectrophotometer data at the stated time intervals. (2) Empirical analysis: The use of the ANN has been proposed as numerical approach to get of empirical equations of color changes in inks applied on the surface of wood-free uncoated paper with offset printing during drying. Based on the outputs of the study, ANN model can be used to estimate the effects of digital proofing systems used in color management on print quality with high confidence with the use of the acquired equations without experimental study. In the study, as colors are defined in terms of wave length, in case, all wave lengths are taken into consideration, certain wave length changes have been taken into consideration.
Similar content being viewed by others
References
Kose E (2008) Modelling of color perception of different age groups using artificial neural Networks. Expert Syst Appl 34:2129–2139
Kalogirou SA (2000) Applications of artificial neural-networks for energy systems. Appl Energy 67:17–35
Güler I, Übeyli ED (2006) A recurrent neural network classifier for Doppler ultrasound blood flow signals. Pattern Recognit Lett 27(13):1560–1571
Reddy KS, Ranjan M (2003) Solar resource estimation using artificial neural networks and comparison with other correlation models. Energy Convers Manag 44:2519–2530
Köse E, Şahinbaşkan T, Güler İ (2009) The investigation of effects of digital proofing systems used in color management on print quality with neural networks. Expert Syst Appl 36(1):745–754
Sözen A, Gülseven Z, Arcaklıoğlu E (2007) Forecasting based on sectoral energy consumption of GHGs in Turkey and mitigation policies. Energy Policy 35(12):6491–6505
Haykin S (1994) Neural networks: a comprehensive foundation. Macmillan, New York
Acknowledgments
The author would like to thank to Türkün Şahinbaşkan from University of Marmara for his critical review of the original this manuscript.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Köse, E. Determination of color changes of inks on the uncoated paper with the offset printing during drying using artificial neural networks. Neural Comput & Applic 25, 1185–1192 (2014). https://doi.org/10.1007/s00521-014-1602-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00521-014-1602-4