| 基于BP神经网络的织物折皱等级评定 |
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| 引用本文： | 杨晓波,黄秀宝.基于BP神经网络的织物折皱等级评定[J].东华大学学报(自然科学版),2003,29(4):68-71. |
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| 作者姓名： | 杨晓波 黄秀宝 |
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| 作者单位： | 1. 浙江财经学院信息学院,杭州,310012
2. 东华大学纺织学院,上海,200051 |
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| 基金项目： | 高等学校博士学科点专项科研基金资助课题 |
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| 摘 要： | 采用改进的BP神经网络客观评定织物的折皱等级，网络结构为3层结构，输入样本数据经BP神经网络学习训练后，很快达到较小的误差收敛，从而确保评价的准确性和可靠性。
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| 关 键 词： | BP神经网络 收敛性 织物折皱等级 |
| 修稿时间： | 2002年7月3日 |
Assessing Fabric Wrinkle Degree Based on BP Neural Network |
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| YANG Xiao-bo,HUANG Xiu-bao.Assessing Fabric Wrinkle Degree Based on BP Neural Network[J].Journal of Donghua University,2003,29(4):68-71. |
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| Authors: | YANG Xiao-bo HUANG Xiu-bao |
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| Abstract: | In this paper, the modified BP neural network is adapted to assess fabric wrinkle degree objectively. It has three layers in the network structure, the sample data is input BP neural network, then the data is learned and trained by BP neural network, it will attain convergences with less error quickly, which assures the accuracy and reliability of assessment. |
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| Keywords: | BP neural network convergence fabric wrinkle degree |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
