목표색상 재현을 위한 페인트 안료 배합비율의 예측
(주)코리아스칼라
- 최초 등록일
- 2016.04.02
- 최종 저작일
- 2008.12
- 8페이지/ 어도비 PDF
- 가격 4,000원
* 본 문서는 배포용으로 복사 및 편집이 불가합니다.
서지정보
ㆍ발행기관 : 한국유화학회
ㆍ수록지정보 : 韓國油化學會誌 / 25권 / 4호
ㆍ저자명 : 황규석, 박창원
영어 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).
참고 자료
없음
"韓國油化學會誌"의 다른 논문
더보기 (5/10)