Abstract
With the continuous development of the printing industry, print quality has significantly improved and enhanced. The evaluation of the print quality is mainly based on the objective and supplemented subjective methods, and it has changed from the traditional empirical judgments to science of quantitative analysis. So it improves the quality of management, scientific, standardized and rationality. This paper is to solve the color print quality problems by establishing the evaluation of index system, identifying the standard data and combining with BP neural network theory.
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Ma, T., Li, Y., Sun, Y. (2011). The Study of Print Quality Evaluation System Using the Back Propagation Neural Network with Applications to Sheet-Fed Offset. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23321-0_23
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DOI: https://doi.org/10.1007/978-3-642-23321-0_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23320-3
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