|本期目录/Table of Contents|

[1]李翔,顾宗栋,薛元,等.基于两种BP神经网络的精纺毛纱性能预测模型的比较[J].浙江理工大学学报,2011,28(03):347-350.
　LI Xiang,GU Zong dong,XUE Yuan,et al. Comparison of Prediction Models of Worsted Yarns Performances Based on Two Kinds of BP Neural Network[J].Journal of Zhejiang Sci-Tech University,2011,28(03):347-350.
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基于两种BP神经网络的精纺毛纱性能预测模型的比较()
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浙江理工大学学报[ISSN:1673-3851/CN:33-1338/TS]

卷:
第28卷
期数:
2011年03期
页码:
347-350
栏目:
(自科)纺织与服装工程
出版日期:
2011-06-30

文章信息/Info

Title:
 Comparison of Prediction Models of Worsted Yarns Performances Based on Two Kinds of BP Neural Network
文章编号:
16733851 (2011) 03034704
作者:
李翔1;  顾宗栋2;  薛元3;  胡国樑1
 1. 浙江理工大学材料与纺织学院， 杭州 310018； 2． 浙江凌龙纺织有限公司， 浙江 嘉善 314104； 3． 嘉兴学院服装与艺术设计学院， 浙江 嘉兴 314001
Author(s):
 LI Xiang1;  GU Zongdong2;  XUE Yuan3;  HU Guoliang1
 1. School of Materials and Textiles, Zhejiang SciTech University, Hangzhou 310018, China; 
2. Zhejiang Linglong Textile Co. Ltd., Jiashan, 314104, China; 
3. School of Garment and Art design, Jiaxing University, Jiaxing 314001, China
关键词:
 ; BP神经网络;  精纺毛纱;  单隐层;  双隐层
分类号:
TS104.1
文献标志码:
A
摘要:
    在较大输入层样本数、较多输入层节点数的条件下，尝试使用单隐层BP神经网络模型与双隐层BP神经网络模型分别对精纺毛纱的条干不匀率与断裂强力进行预测，分析比较单、双隐层模型的预测性能。结果表明：隐含层节点数为9的双隐层BP神经网络模型预测性能最佳，相关系数值为0.9205；对精纺纱的断裂强力进行预测时，隐含层节点数为8的双隐层BP神经网络模型预测性能最好，相关系数值为0.9171。因此，在输入层样本数较大、输入层节点数较多的条件下，双隐层BP神经网络模型更适合对精纺毛纱的性能进行预测。

参考文献/References:

 ［1］ HechtNielsen R. Counterpropagation networks［J］. Applied Optics, 1987(26): 49794984.
［2］ Majumdar A, Ciocoiu M, Blaga M. Modelling of ring yarn unevenness by soft computing approach［J］. Fibers and Polymers, 2008, 9(2): 210216.
［3］ Babay A, Cheikhrouhou M, Vermeulen B, et al. Selecting the optimal neural network architecture for predicting cotton yarn hairiness［J］. Journal of the Textile Institute, 2005, 96(3): 185192.
［4］ Demiryurek O, Koc E. Predicting the unevenness of polyester/viscose blended openend rotor spun yarns using artificial neural network and statistical models［J］. Fibers and Polymers, 2009, 10(2): 237245.
［5］ E.reyen M, Gürkan P. Comparison of artificial neural network and linear regression models for prediction of ring spun yarn properties［J］. Fibers and Polymers, 2008, 9(1): 8796.
［6］ 问新, 周露, 李翔, 等. MATLAB神经网络仿真与应用［M］. 北京: 科学出版社, 2003: 264.
［7］ Yin X G, Yu W D. The virtual manufacturing model of the worsted yarn based on artificial neural networks and grey theory［J］. Applied Mathematics and Computation, 2007, 185(1): 322332.
［8］ Mwasiagi J I, Huang X B, Wang X H. Performance of neural network algorithms during the prediction of yarn breaking elongation［J］. Fibers and Polymers, 2008, 9(1): 8086.
［9］ 刘贵, 于伟东. 毛精纺前纺工艺参数重要性的BP网络定量评价法［J］. 纺织学报, 2008, 29(1): 3437.
［10］ 高大启. 有教师的线性基本函数前向三层神经网络结构研究［J］. 计算机学报, 1998, 21(1): 8086.
［11］ 张立明. 人工神经网络的模型及其应用［M］. 上海: 复旦大学出版社, 1993: 46.

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备注/Memo

备注/Memo:
 收稿日期： 2010-07-05
基金项目： 浙江省重大科技专项（2008C010693）
作者简介： 李翔（1985-），男，福建宁德人，硕士研究生,主要从事纺织材料的结构与性能研究。
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