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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 | |
| 引用本文： | 李翔,顾宗栋,薛元,胡国樑.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(3). |
| 作者姓名： | 李翔 顾宗栋 薛元 胡国樑 |
| 作者单位： | 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 |
| 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. |
| 关 键 词： | BP神经网络 精纺毛纱 单隐层 双隐层 |
Comparison of Prediction Models of Worsted Yarns Performances Based on Two Kinds of BP Neural Network |
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| LI Xiang,GU Zong-dong,XUE Yuan,HU Gno-liang.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(3). | |
| Authors: | LI Xiang GU Zong-dong XUE Yuan HU Gno-liang |
| Affiliation: | LI Xiang1,GU Zong-dong2,XUE Yuan3,HU Guo-liang1(1.School of Materials and Textiles,Zhejiang Sci-Tech University,Hangzhou 310018,China,2.Zhejiang Linglong Textile Co.Ltd.,Jiashan,314104,3.School of Garment and Art design,Jiaxing University,Jiaxing 314001,China) |
| Abstract: | One-hidden layer and two-hidden layer BP neural network models are attempted to predict both unevenness value(CV) and breaking strength(BS) of worsted yarns under the condition of large-scale input samples and high input dimensions.Additionally,prediction performances of one-hidden layer and two-hidden layer BP neural network models are analyzed.The experimental results show that two-hidden layer BP neural network with 9 hidden layer nodes is demonstrated to be the best one in the prediction of unevenness v... |
| Keywords: | BP neural network worsted yarns one-hidden layer two-hidden layer |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |