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degree of relevancy
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  关联度
     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.
     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)。
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  相似匹配句对
     Application of Grey Relevancy Degree to the Evaluation of Farmland Quality
     灰色关联度在耕地质量评价中的应用——以徐州市土地复垦项目为例
短句来源
     Relevancy Analysis of Information Industry Factors to the Degree of Informatimalization
     信息产业各要素与信息化程度的关联分析
短句来源
     Finally, the strategy was proposed from the principle of development andaccording to the relevancy degree.
     最后,从京津唐经济区发展的原则出发,根据京津唐的发展现状和发展趋势,系统总结出京津唐经济区的发展模式。
短句来源
     Unascertained Degree
     未确知度
短句来源
     the degree of relevance;
     关联的程度;
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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...

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%.

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%。

 
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