纺织高校基础科学学报2011，Vol.24Issue(1)：136-140,5.
基于小波神经网络的精梳毛纱条干不匀预测
Application of a wavelet neural network on the prediction of worsted yarn evenness
王侃枫 1姜景连 2马兵3
作者信息
- 1. 东华大学纺织学院,上海,200051
- 2. 武夷学院数学与计算机系,福建,武夷山,354300
- 3. 美乐家(中国)日用品有限公司,上海,200072
- 折叠
摘要
Abstract
A wavelet neural network (WNN) was proposed and applied to the prediction of the worsted yarn evenness. A compound network was constituted to predict yam CV％, the numbers of thin places,thick places and neps by analyzing the spinning theory and choosing the right input parameters. Excellent predictions results with a square of correlation coefficient of 0. 985 4, O.975 8, O.931 2 and 0.847 4 respectively for the four indexes suggested that the WNN was a prospective mothod in prediction of the yarn evenness.关键词
小波神经网络/纱线条干不匀/纱线CV%/细节/粗节/毛粒Key words
wavelet neural network/ yam unevenness/ yarn CV％/ thin places/ thick places/ neps分类
轻工纺织引用本文复制引用
王侃枫,姜景连,马兵..基于小波神经网络的精梳毛纱条干不匀预测[J].纺织高校基础科学学报,2011,24(1):136-140,5.
