Knitting cashmere yarns fineness unevenness forecast based on artificial neural network

摘要：

The application situation of artificial neural network in the yarn quality predicting is introduced in the paper. According to the analysis of knitting cashmere yarns character and spinning principle, a neural network model is proposed based on a three- layer BP neural network. Cashmere yarns fineness unevenness forecast can be achieved by neural network under MATLABT. O environment. The error between predicted yarns fineness unevenness and the actual value is smaller. It shows that the artificial neural network which is trained is in good accuracy.

关键词： artificial neural network cashmere yarn predict fineness unevenness

作者: Ma Caixia Wu Zhiyun Zhang Yaqin

作者单位: Light Industry and Textile College, Inner Mongolia University of Technology, Hohhot 010051, China

会议类型: 国际会议

会议名称: 2006中国国际毛纺织会议暨IWTO羊毛论坛(2006 China International Wool Textile Conference & IWTO Wool Forum)

会议地点: 西安

会议语种:英文

页码: 207-211

在线出版日期: 2006-11-19（万方平台首次上网日期，不代表论文的发表时间）