| 工业软测量模型结构与输入变量选择的研究 |
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| 引用本文： | 朱群雄,郎娜.工业软测量模型结构与输入变量选择的研究[J].控制工程,2011,18(3):388-392. |
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| 作者姓名： | 朱群雄 郎娜 |
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| 作者单位： | 北京化工大学,信息科学与技术学院,北京,100029 |
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| 基金项目： | 国家自然科学基金项目(60774079) |
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| 摘 要： | 针对过程工业中难以直接测量的变量建立其软测量模型,对于实现关键指标的在线监测和实时控制具有十分重要的意义.变量的选择直接关系到神经网络软测量模型的预测性能,针对现有输入变量和网络结构选择方法在工业应用中的不足,提出了一种基于敏感度分析的方法来确定网络输入变量集和前馈神经网络隐含层节点个数,并建立了高密度聚乙烯(HDPE...
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| 关 键 词： | 软测量 敏感度分析 输入变量选择 隐含层节点 |
Research on Model Structure and Input Variable Selection for Industry Soft Sensing |
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| ZHU Qun-xiong,LANG Na.Research on Model Structure and Input Variable Selection for Industry Soft Sensing[J].Control Engineering of China,2011,18(3):388-392. |
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| Authors: | ZHU Qun-xiong LANG Na |
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| Affiliation: | ZHU Qun-xiong,LANG Na(College of Information Science & Technology,Beijing University of Chemical Technology,Beijing 100029,China) |
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| Abstract: | Since some important process variables are difficult to be measured in real time for industrial processes,the establishment of soft sensing model plays an important role in on-line monitoring and real-time controlling of the key indicators.The variables selection is relevant to the prediction ability of neural network soft-sensing model.A method based on sensitivity analysis is prolided,aiming to confirm the input variable set and the number of hidden layer nodes more accurately against the deficiency of ex... |
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| Keywords: | soft sensing sensitivity analysis input variable selection hidden layer nodes |
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