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http://dx.doi.org/10.12925/jkocs.2008.25.4.4

Recipe Prediction of Colorant Proportion for Target Color Reproduction  

Hwang, Kyu-Suk (Dept. of Chemical Eng., Pusan National University)
Park, Chang-Won (Dept. of Chemical Eng., Pusan National University)
Publication Information
Journal of the Korean Applied Science and Technology / v.25, no.4, 2008 , pp. 438-445 More about this Journal
Abstract
For recipe prediction of colorant proportion showing nonlinear behavior, we modeled the effects of colorant proportion of basic colors on the target colors and predicted colorant proportion necessary for making target colors. First, colorant proportion of basic colors and color information indicated by the instrument was applied by a linear model and a multi-layer perceptrons model with back-propagation learning method. However, satisfactory results were not obtained because of nonlinear property of colors. Thus, in this study the neuro-fuzzy model with merit of artificial neural networks and fuzzy systems was presented. The proposed model was trained with test data and colorant proportion was predicted. The effectiveness of the proposed model was verified by evaluation of color difference(${\Delta}E$).
Keywords
Colorant; Recipe Prediction; Neuro-fuzzy System; Back-propagation; Color Difference;
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