东华大学学报（英文版）2004，Vol.21Issue(4)：34-37,4.
A Worsted Yarn Virtual Production System Based on BP Neural Network
A Worsted Yarn Virtual Production System Based on BP Neural Network
摘要
Abstract
Back-Propagation (BP) neural network and its modified algorithm are introduced. Two series of BP neural network models have been established to predict yarn properties and to deduce wool fiber qualities. The results from these two series of models have been compared with the measured values respectively, proving that the accuracy in both the prediction model and the deduction model is high. The experimental results and the corresponding analysis show that the BP neural network is an efficient technique for the quality prediction and has wide prospect in the application of worsted yarn production system.关键词
BP neural network/yarn properties/topqualities/virtual production/prediction/deductionKey words
BP neural network/yarn properties/topqualities/virtual production/prediction/deduction分类
轻工纺织引用本文复制引用
董奎勇,于伟东..A Worsted Yarn Virtual Production System Based on BP Neural Network[J].东华大学学报（英文版）,2004,21(4):34-37,4.基金项目
Supported by the Technical Innovation Project of the State Economic and Trade Commission (02CJ - 14 - 05 - 01) （02CJ - 14 - 05 - 01）
