Predicting Yarn Unevenness Using RBF Neural Network

摘要：

The objective of this research is to predict yarn unevenness. The model of predicting yarn unevenness is built based on standard RBF neural network. The RBF 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 RBF neural network are very precise and efficient.

关键词： RBF CV value knots NEPS

作者: LI Huijun WANG Xinhou

作者单位: College of Textiles, Donghua University, Shanghai 201620, P.R.China

会议类型: 国际会议

会议名称: The 12th International Wool Research Conference(第十二届国际羊毛会议12th IWRC)

会议地点: 上海

会议语种:英文

页码: 971-973

在线出版日期: 2010-10-19（万方平台首次上网日期，不代表论文的发表时间）