SITE MAP
주요사업
- 시험분석
- 품질검사
- 제품안전·인증·검증
-
제품안전(KC)
- 연구개발
- 기업지원
기술정보
사
Artificial Neural Networks and Product Design of Cotton Yarns.
- 출판일1996.12
- 저자
- 서지사항
- 등록일 2016.11.02
- 조회수 245
Neural networks, which are mathematical models based on models of biological neural networks, have proved useful for analyzing such aspects of the manufacturing process as monitoring, modeling, and decision making. Researchers have been slow, however, to apply neural network models to the analysis of textile yarn spinning processes. An introduction to the applications of neural networks to real cotton yarn spinning processes addresses technological problems related to machinery and control that affect yarn properties and yarn quality. Abstract.
