| 基于径向基神经网络的沙浆浓度软测量方法 |
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| 引用本文： | 付丽辉,周西峰. 基于径向基神经网络的沙浆浓度软测量方法[J]. 淮阴工学院学报, 2007, 16(3): 61-63,77 |
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| 作者姓名： | 付丽辉 周西峰 |
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| 作者单位： | 南京邮电大学,自动化学院,南京,210003;南京邮电大学,自动化学院,南京,210003 |
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| 摘 要： | 采用基于神经网络的软测量方法来测量充填系统中的沙浆浓度,充分体现了软测量的优点及神经网络的强分类能力,是测量沙浆浓度较为优良的方案,能保证整个充填系统的可靠运行,并可消除传统的在线仪表测量方法中存在的投资大、检测范围有限、精度差等弊端。
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| 关 键 词： | 软测量 神经网络 沙浆浓度 充填 |
| 文章编号： | 1009-7961（2007）03-0061-03 |
| 收稿时间： | 2007-05-04 |
| 修稿时间： | 2007-05-04 |
Soft-sensing Method of the Sand-slurry Concentration Measurement Based upon RBF Neural Network |
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| FU Li-hui,ZHOU Xi-feng. Soft-sensing Method of the Sand-slurry Concentration Measurement Based upon RBF Neural Network[J]. Journal of Huaiyin Institute of Technology, 2007, 16(3): 61-63,77 |
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| Authors: | FU Li-hui ZHOU Xi-feng |
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| Affiliation: | College of Automation, Nanjing University of Post and Telecommunications, Nanjing 210003, China |
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| Abstract: | This paper introduces a soft-sensing method of the sand-slurry concentration measurement which was involved in filling system based upon RBF neural network,which is fully characterized by the advantage and neural network's classificatory ability.It is an excellent way for the Sand-Slurry concentration measurement and can guarantee the reliable running of the filling system and eliminate multitudinous flaws involved in traditional means which utilize on-line measuring instrument such as enormous investment,the limited measuring range and low precision. |
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| Keywords: | soft-sensing neural network sand-slurry concentration filling system |
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