| 过程信号的盲分离 |
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| 引用本文： | 林家骏,乐慧丰.过程信号的盲分离[J].华东理工大学学报(自然科学版),1999,25(5):510-513. |
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| 作者姓名： | 林家骏 乐慧丰 |
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| 作者单位： | 华东理工大学自动化研究所!上海200237 |
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| 基金项目： | 上海市教委重点科学基金 |
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| 摘 要： | 添加采集通道，应用文中提出的基于盲分离原理的简约ＨＪ神经网络（ＲＨＪＮＮ），可有效地去除混杂在过程信号中噪声，是控制工程中一种新型的去噪手段。对多类控制系统与不同信号的组合仿真表明，该方法是有效的，网络性能是稳定的。
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| 关 键 词： | 盲分离 神经网络 过程信号 RHJNN |
Blind Separation of Process signals |
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| LIN Jia jun ,\ LE Hui feng,\ YU Jin shou.Blind Separation of Process signals[J].Journal of East China University of Science and Technology,1999,25(5):510-513. |
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| Authors: | LIN Jia jun \ LE Hui feng \ YU Jin shou |
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| Institution: | LIN Jia jun *,\ LE Hui feng,\ YU Jin shou |
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| Abstract: | With a sampling channel added, the noise mixed in process signals can be reduced by using the reduced HJ neural network (RHJNN) which is proposed in this paper based on signal blind separation. Results of computational simulations for different systems and signal combinations show RHJNN is effective, stable and robust. |
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| Keywords: | blind separation neural network process signal |
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