Prediction of the Shearing Property of Worsted Fabrics Using BP Neural Network

作     者：徐广标 张向华 王府梅 

作者机构：College of TextilesDonghua University Panyu Entry-Exit Inspection and Quarantine Bureau 

出 版 物：《Journal of Donghua University(English Edition)》 (东华大学学报（英文版）)

年 卷 期：2006年第23卷第6期

页      面：47-49页

核心收录：

学科分类：0821[工学-纺织科学与工程] 08[工学] 082101[工学-纺织工程] 

主　　题：worsted fabric shearing properties neural network models predictive accuracy. 

摘      要：In this paper, three layers of BP neural network were used to model the shearing properties of worsted fabrics. We train the neural network models with 27 kinds of fabrics, and then use 6 kinds of fabrics to validate the accuracy of the model. The result shows that the predicted accuracy of the models is about 85%.