纺织学报 ›› 2006, Vol. 27 ›› Issue (11): 106-109.

• 生产技术 • 上一篇    下一篇

基于灰色关联分析的缝纫针号预测

董英;张渭源   

  1. 东华大学服装学院 上海200051
  • 收稿日期:2006-01-20 修回日期:2006-06-05 出版日期:2006-11-15 发布日期:2006-11-15

Prediction model of sewing needle size based on grey relevant analysis

DONG Ying;ZHANG Wei-yuan   

  1. Fashion Institute;Donghua University;Shanghai 200051;China
  • Received:2006-01-20 Revised:2006-06-05 Online:2006-11-15 Published:2006-11-15

摘要: 将灰色系统理论应用于服装缝纫加工参数缝纫针号的预测。选择45块常用的服装面料,在KES测试仪上进行面料力学性能的测试。不同面料所用的缝针由服装厂的技师根据经验选择并通过实际缝制实验验证。利用面料的力学性能指标和缝纫针号间的灰色关联分析,按照关联度的高低对建模数据进行筛选,以关联度在0·90以上的参数建立缝纫针号的优化灰色预测模型GM(SP)。与未经灰色关联分析的全参数预测模型GM(AP)比较,优化灰色模型的预测精度有明显提高,说明其应用是有效的。模型的相对误差为5·61%。

Abstract: The prediction model of sewing needle size was developed by using gray system theory. 45 kinds of different fabrics were selected and their mechanical properties were measured by KES instrument. The size of sewing needle for each kind of apparel fabrics was chosen by the experienced technicians in a garment factory and sewing experiment was conducted for confirming its correctness. Grey relevancy between fabric mechanical property indexes and sewing needle size was analyzed and the parameters were screened and selected based on the degree of relevancy for prediction model. The precision of the model developed on the parameters with the relevant degree more than 0.90 was superior to that on all parameters. The results showed that the application of grey relevant analysis was valid. The average error was 5.61%.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!