| 基于灰色-BP神经网络理论的上染率模型研究 |
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| 引用本文： | 徐文龙,汪澜,张永兴.基于灰色-BP神经网络理论的上染率模型研究[J].浙江工程学院学报,2014(4):343-347,353. |
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| 作者姓名： | 徐文龙 汪澜 张永兴 |
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| 作者单位： | [1]浙江理工大学先进纺织材料与制备技术教育部重点实验室,杭州310018 [2]浙江理工大学机械与自动控制学院,杭州310018 |
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| 基金项目： | 国家自然科学基金（61074154） |
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| 摘 要： | 以活性黄3RE上染棉织物为例,首先利用灰色系统GM（1,1）和Verhulst建立起上染率-染色工艺单因素模型,再将其输出直接作为神经网络的输入,最终建立灰色-BP神经网络上染率-染色工艺多因素模型,其拟合值的相对误差小于1.3%,并通过实验验证,预测值的误差均在1.0%以内。验证结果表明,该数学模型精确度较高,能较准确地反映棉织物活性染料染色后的上染率,并可以满足预测上染率的需求。
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| 关 键 词： | 活性染料 棉织物 灰色-BP神经网络 上染率 多因素模型 |
Research on Dye-uptake Rate Model Based on Gray-BP Neural Network Theory |
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| XU Wen-long,WANG Lan,ZHANG Yong-xing.Research on Dye-uptake Rate Model Based on Gray-BP Neural Network Theory[J].Journal of Zhejiang Institute of Science and Technology,2014(4):343-347,353. |
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| Authors: | XU Wen-long WANG Lan ZHANG Yong-xing |
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| Affiliation: | 1. Key Laboratory of Advanced Textile Materials and Manufacturing Technology, Ministry of Education; 2. School of Mechanical Engineering Automation, Zhejiang Sci-Tech University, Hangzhou 310018) |
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| Abstract: | This paper takes dyeing of cotton fabric with Reactive Yellow 3RE for example.Firstly,dye-uptake rate and dying single-factor model was established with gray system GM（1,1）and verhulst.Secondly,the output directly served as the input of neural network,and finally dye-uptake rate and dying multi-factor model based on gray-BP neural network was established.The relative error of the fitting values was less than 1.3%.The experimental result shows that the error of the predicted value is within1.0%.The verification results show that the mathematical model has high accuracy and can exactly reflect the dye-uptake rate of reactive dyes in the dyeing process and meet the actual requirement of forecasted dye-uptake rate. |
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| Keywords: | reactive dyes cotton fabric Grey-BP neural network dye-uptake rate multi-factor model |
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