The investigation of effects of digital proofing systems used in colour management on print quality with neural networks |
| |
| Authors: | Erdoğan Köse Türkün Şahinbaşkan İnan Güler |
| |
| Affiliation: | 1. Gazi University, Technical Education Faculty, Printing Department, 06500 Ankara, Turkey;2. Marmara University, Technical Education Faculty, Printing Department, 34722 ?stanbul, Turkey;3. Gazi University, Technical Education Faculty, Electronics Department, 06500 Ankara, Turkey;1. Natural and Built Environments Research Centre, School of Natural and Built Environments, University of South Australia, Mawson Lakes Boulevard, Mawson Lakes, 5095 South Australia, Australia;2. Future Industries Institute, Mawson Lakes Campus, University of South Australia, South Australia 5095, Australia;3. School of Chemical Engineering, The University of Adelaide, South Australia 5005, Australia;4. Public Works Department, Faculty of Engineering, Mansoura University, Egypt;1. Materials Research Laboratory, Department of Chemistry, Jamia Millia Islamia, New Delhi 110025, India;2. Department of Chemistry, Faculty of Science, Jazan University, PO Box 2097, Jazan, Kingdom of Saudi Arabia;3. Department of Pharmaceutical Chemistry, College of Pharmacy, Umm Al-Qura University, Makkah Al-Mukarramah, PO Box 715, Postal Code 21955, Kingdom of Saudi Arabia;1. Climate Change Research Division, Korea Institute of Energy Research, 152 Gajeong-ro, Yuseong-gu, Daejeon 34129, Republic of Korea;2. Center for Convergent Chemical Process, Korea Research Institute of Chemical Technology, 141 Gajeong-ro, Yuseong-gu, Daejeon 34114, Republic of Korea;3. University of Science and Technology, 217 Gajeong-ro, Yuseong-gu, Daejeon 34113, Republic of Korea;1. School of Management, Shanghai University, Shanghai 200444, China;2. Humanities School, East China University of Political Science and Law, Shanghai 200042, China;3. School of Business, East China University of Science and Technology, Shanghai 200237, China |
| |
| Abstract: | The 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 R2 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. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
