| BP神经网络预测棉织物悬垂性能 |
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| 引用本文： | 曹建达.BP神经网络预测棉织物悬垂性能[J].上海纺织科技,2003,31(4):59-60. |
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| 作者姓名： | 曹建达 |
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| 作者单位： | 嘉兴学院,浙江,嘉兴,314001 |
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| 摘 要： | 采用BP神经网络技术建立和训练反应织物结构参数与织物悬垂性能之间关系的三层神经网络模型，对比预测值和实验值，表明用神经网络方法预测棉织物悬垂性能有相当的准确性。
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| 关 键 词： | BP神经网络 预测 棉织物 悬垂性能 结构参数 |
| 文章编号： | 1001-2044(2003)04-0059-02 |
| 修稿时间： | 2003年3月31日 |
Cotton Fabric Drape prediction with BP Neural Network |
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| CAO Jian,da.Cotton Fabric Drape prediction with BP Neural Network[J].Shanghai Textile Science & Technology,2003,31(4):59-60. |
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| Authors: | CAO Jian da |
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| Abstract: | In the paper, artificial neural network(ANN) is adopted to analyze cotton fabric drape. The BP neural network of three layers is constructed to obtain the relationship between fabric structural parameters and fabric drape. The predicted values are compared with the test ones, resulted in good agreement. |
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| Keywords: | Cotton fabrics Fabric structural Drape coefficient Artificial neural network(BP) |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
