2016年9月21日
Abstract: By introducing the progress in the research of clothing ergonomics such as automatic prototype genera-tion, the choice of size designation and clothing comfort forecast, the article shows that, as an intelligent tool, BP neural network has the ability of simplifying some complicated problems of clothing ergonomics, and especially it has significant meaning in solving clothing comfort problems influenced by various unrelated factors.
Key words: BP neural network; clothing ergonomics; automatic prototype generation; clothing com-fort
Authority in Charge: China National Textile and Apparel Council (CNTAC)
Sponsor: China Textile Information Center (CTIC)
ISSN 1003-3025 CN11-1714/TS
© 2024 China Textile Leader, all rights reserved.
Powered by SeekRay