| 발행년도/권호 |
2007 년 / 권호: V.19,no.6,Dec |
| 논문제목1(원어) |
인공 신경망을 이용한 방적사 굵기 신호의 모델링 |
| 논문제목2(타언어) |
Modeling and Prediction of Yarn Density Profiles Using Neural Networks |
| 저자(원어) |
김주용 |
| 저자(타언어) |
Jooyong Kim |
| 소속(원어) |
숭실대학교 유기신소재·파이버 공학과 |
| 소속(타언어) |
Department of Organic Materials and Fiber Engineering, Soongsil University Seoul |
| 시작/끝
페이지 |
7 ~ 11 총페이지 : 5 |
| 언어(원어) |
English |
| 초록 |
A prediction model for yarn density profile was developed using the neural network methodology.
The neural network model developed traces mass densities of a yarn within a section and predicts the mass
profiles of the next yarn segment yet to be measured. The model does not require an assumption on the
existence of a relationship between the past and future data sets. Four high-draft yarns made under different
processing conditions were employed in order to test the performance of the model developed. It was shown that
the model could predict the yarn density profiles without a significant error. |
| 키워드 |
yarn densities, neural network, uniformity, data acquisition, time-series |
| 학회지 |
|
| Reference |
http://www.koreascience.or.kr/article/ArticleFullRecord.jsp?cn=OSGGBT_2007_v19n6_7 |
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