| 基于RBF神经网络的丙烯腈收率软测量方法 |
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| 引用本文： | 常青,杨捷,裴洪卿.基于RBF神经网络的丙烯腈收率软测量方法[J].东南大学学报(自然科学版),2006(Z1). |
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| 作者姓名： | 常青 杨捷 裴洪卿 |
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| 作者单位： | [1]华东理工大学信息科学与工程学院 [2]上海联合水泥有限公司 [3]上海 |
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| 摘 要： | 针对丙烯腈生产在线收率的测量问题,通过研究RBF网络的特点,利用其学习时间短且具有良好的逼近性能,及其在建立软测量模型中的较大优越性,采用RBF网络建立丙烯腈收率在线测量的软测量模型,并运用大量实测数据进行训练和仿真.结果表明,该方法可以实现对丙烯腈收率的在线测量,为实现直接质量控制奠定了基础.
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| 关 键 词： | RBF网络 在线收率 软测量 |
Soft measurement method of acrylonitrile yield based on RBF network |
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| Chang Qing Yang Jie Pei Hongqing.Soft measurement method of acrylonitrile yield based on RBF network[J].Journal of Southeast University(Natural Science Edition),2006(Z1). |
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| Authors: | Chang Qing Yang Jie Pei Hongqing |
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| Institution: | Chang Qing1 Yang Jie1 Pei Hongqing2 |
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| Abstract: | The redial basis function(RBF) network is effective in soft measurement modeling.It has high learning speed and good approximation features. Based on the research of the redial basis function network and the modeling features of the soft measurement,a soft measurement model for the acrylonitrile yield measuring on-line is introduced.Training and simulation with lots of data collected from productive process were conducted.The results demonstrate the effectiveness and the efficiency of this RBF method for the yield on-line measuring.The result of the research provides a basis for the online measurement. |
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| Keywords: | redial basis function network yield on-line soft measurement |
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