Prediction of wrinkle resistance of cotton fabrics using neural network

被引：0
|
作者：
Su, ZF
Yang, MZ
Han, J
Matsudaira, M
机构：
[1] Kanazawa Univ, Grad Sch Nat Sci, Kanazawa, Ishikawa 9200942, Japan
[2] Kanazawa Univ, Fac Educ, Kanazawa, Ishikawa 9201192, Japan
来源：
SEN-I GAKKAISHI | 2004年 / 60卷 / 04期
关键词：
D O I：
暂无
中图分类号：
TB3 [工程材料学]; TS1 [纺织工业、染整工业];
学科分类号：
0805 ; 080502 ; 0821 ;
摘要：
The method to objectively evaluate and to predict the fabric wrinkle resistance using the neural network was proposed in this paper. The fabric wrinkle resistance could be predicted by use of their textural feature and mechanical parameters. The correlation coefficient between the predicted value and practical wrinkle grade was as high as 0.9. The results showed that the wrinkle resistance of cotton fabrics not only could successfully be predicted using the neural network model that has been trained, but also could precisely be done using the one that has not been learned.
引用
收藏
页码：130 / 135
页数：6
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