목표색상 재현을 위한 페인트 안료 배합비율의 예측

• 영문명: Recipe Prediction of Colorant Proportion for Target Color Reproduction
• 발행기관: 한국응용과학기술학회 (구.한국유화학회)
• 저자명: 박창원(Chang Won Park) 황규석(Kyu Suk Hwang)
• 간행물 정보: 『한국응용과학기술학회지』한국유화학회지 제25권 제4호, 438~445쪽, 전체 8쪽
• 주제분류: 공학 > 화학공학
• 파일형태: PDF
• 발행일자: 2008.12.31

영문 초록

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(ΔE).

목차

1. 서 론

2. 이 론

3. 안료 배합 비율에 의한 색상 변화 실험

4. 결과 및 고찰

5. 결 론

감사의 글

참고문헌

키워드

Colorant Recipe Prediction Neuro-fuzzy System Back-propagation Color Difference