| 反馈神经网络在动态过程数据校正中的应用 |
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| 引用本文： | 徐俊波,潘吉铮,许庆国,赵文,周传光. 反馈神经网络在动态过程数据校正中的应用[J]. 青岛科技大学学报(自然科学版), 2003, 24(3): 251-253,276 |
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| 作者姓名： | 徐俊波 潘吉铮 许庆国 赵文 周传光 |
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| 作者单位： | 青岛科技大学化工学院 山东青岛266042(徐俊波，潘吉铮，许庆国，赵文)，青岛科技大学化工学院 山东青岛266042(周传光) |
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| 摘 要： | 以全混流反应器为例 ,对反馈神经网络在动态过程数据校正中的应用进行了研究 ,并对 Elman网络及其改进形式进行了比较。由校正结果得出 ,Elman网络引入自反馈后 ,能更好地反映系统的动态特性。
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| 关 键 词： | 反馈 神经网络 数据校正 |
| 文章编号： | 1001-4764(2003)03-0251-03 |
Data Reconciliation for Dynamic Process Based on Recurrent Neural Network |
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| XU Jun-bo,PAN Ji-zheng,XU Qing-guo,ZHAO Wen,ZHOU Chuan-guang. Data Reconciliation for Dynamic Process Based on Recurrent Neural Network[J]. Journal of Qingdao University of Science and Technology:Natutral Science Edition, 2003, 24(3): 251-253,276 |
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| Authors: | XU Jun-bo PAN Ji-zheng XU Qing-guo ZHAO Wen ZHOU Chuan-guang |
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| Abstract: | In this paper, the use of recurrent neural network in dynamic process for data reconciliation is studied with a example of CSTR, and a comparison of the results produced between using Elman network and its modified form is presented. It can be seen from the reconciliation results that Elman network can give the dynamic characteristics of the system with improved quality when the self-recurrent introduced into the reconciliation process. |
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| Keywords: | recurrent neural networks data reconciliation |
| 本文献已被 CNKI 维普 等数据库收录！ |
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