| Applications of Neural Networks in Spinning Prediction |
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| 引用本文： | 程文红,陆凯. Applications of Neural Networks in Spinning Prediction[J]. 东华大学学报(英文版), 2003, 20(1) |
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| 作者姓名： | 程文红 陆凯 |
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| 作者单位： | College of Textiles，Donghua University，Shanghai，200051，College of Textiles，Donghua University，Shanghai，200051 |
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| 摘 要： | Th netal network spinning prediction model (BPana RBF Networks) trained by data from the mill canpredict yarn qualities and spinning performance. Theinput parameters of the model are as follows: yarncount, diameter, hauteur, bundle strength, spinningdraft, spinning speed, traveler number and twist.
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Applications of Neural Networks in Spinning Prediction |
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| CHENG Wen-hong,LU KaiCollege of Textiles,Donghua University,Shanghai. Applications of Neural Networks in Spinning Prediction[J]. Journal of Donghua University, 2003, 20(1) |
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| Authors: | CHENG Wen-hong LU KaiCollege of Textiles Donghua University Shanghai |
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| Affiliation: | College of Textiles,Donghua University,Shanghai,200051 |
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| Abstract: | The neural network spinning prediction model (BP and RBF Networks) trained by data from the mill can predict yarn qualities and spinning performance. The input parameters of die model are as follows: yarn count, diameter, hauteur, bundle strength, spinning draft, spinning speed, traveler number and twist. And the output parameters are: yarn evenness, thin places, tenacity and elongation, ends-down. Predicting results match the testing data well. |
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| Keywords: | Neural networks Spinning prediction |
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