Prediction of the Performance of the Fabrics in Garment Manufacturing by Artificial Neural Network

被引：1
|
作者：
刘侃
张渭源
机构：
[1] Donghua University
[2] Fashion Institute
[3] Shanghai 200051
来源：
Journal of Donghua University(English Edition) | 2004年 / 05期
关键词：
garment manufacturing performance; artificial neural network; FAST parameters;
D O I：
10.19884/j.1672-5220.2004.05.007
中图分类号：
TS102 [纺织纤维（纺织原材料）];
学科分类号：
082102 ;
摘要：
An artificial neural network is used to predict the performance of fabrics in clothing manufacturing. The predictions are based on fabric mechanical properties measured on the FAST system. The influences of the different ANNs construct on the convergence speed and the prediction accuracy are investigated. The result indicates that the BP neural network is an efficiency technique and has a wide prospect in the application to garment processing.
引用
收藏
页码：22 / 26
页数：5
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