Predicting yarn unevenness using improved BP Neural Network

被引：0
|
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 | 2011年 / 331卷
关键词：
Improved BP; CV value; knots; NEPS;
D O I：
10.4028/www.scientific.net/AMR.331.219
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 yarn unevenness is built based on improved BP neural network. The improved 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 improved BP neural network are very precise and efficient.
引用
收藏
页码：219 / 222
页数：4
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