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 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. [Copyright &y& Elsevier]
Abstract: The paper studied by Gullu and Ercelebi (2007) includes some problems about the use of ANN approach for the aim of their study. In this discussion, some controversial points of the paper are given. [Copyright &y& Elsevier]