| 基于自适应模糊神经网络的国毛毛条性能预测 |
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| 引用本文： | 李伟,黄秀宝.基于自适应模糊神经网络的国毛毛条性能预测[J].东华大学学报(自然科学版),2006,32(6):66-71. |
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| 作者姓名： | 李伟 黄秀宝 |
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| 作者单位： | 东华大学纺织学院,上海,200051 |
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| 摘 要： | 在对国产细羊毛原毛特征扣毛条加工性能的研究的基础上。采用了基于自适应模糊神经网络（ANFIS）建模方法，分别建立了8个国毛毛条质量品质指标的预测模型。模型测试表明：模型对毛条纤维的长度、长度变异系数、短纤维含量扣加工过程精梳落毛率等指标均能进行较为准确的预测。
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| 关 键 词： | 国产原毛 加工性能 预测 ANFIS建模 |
| 修稿时间： | 2005年1月5日 |
Prediction of Domestic Wool Top Properties Based on ANFIS |
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| LI Wei,HUANG Xiu-bao.Prediction of Domestic Wool Top Properties Based on ANFIS[J].Journal of Donghua University,2006,32(6):66-71. |
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| Authors: | LI Wei HUANG Xiu-bao |
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| Abstract: | With special reference to the characteristics and top-processing performance of domestic raw wool, a Neuron-Fuzzy Modeling method based on Adaptive-Network-Based Fuzzy Interference System (ANFIS) was established for predicting the indexes of wool top properties in this paper. The results show that the top fibre length, coefficient of variation of fibre length, short fibre content and combing noil can be predicted successfully. |
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| Keywords: | greasy wool processing performance prediction ANFIS modeling |
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