Prediction of yarn unevenness based on BP Neural Network

被引：2
|
作者：
Li, Huijun [1 ]
Wang, Xinhou [1 ]
机构：
[1] Donghua Univ, Coll Text, Shanghai 201620, Peoples R China
来源：
ADVANCES IN TEXTILE ENGINEERING AND MATERIALS | 2013年 / 627卷
关键词：
BP; CV value; knots; NEPS;
D O I：
10.4028/www.scientific.net/AMR.627.329
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The objective of this research is to predict yarn unevenness. The model of predicting yam unevenness is built based on BP neural network. The BP neural networks are trained with HVI test results of cotton and USTER TENSOJET 5-S400 test results of yarn. The results show prediction models based on BP neural network are very precise and efficient.
引用
收藏
页码：329 / 332
页数：4
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