|
|||||
|
|
| SBR出水BOD值的RBF软测量法 | |
| 引用本文： | 刘载文,崔莉凤,祁国强,侯朝桢,刘太杰.SBR出水BOD值的RBF软测量法[J].中国给水排水,2004,20(5):17-20. |
| 作者姓名： | 刘载文 崔莉凤 祁国强 侯朝桢 刘太杰 |
| 作者单位： | 1. 北京工商大学,信息工程学院,北京,100037 2. 北京工商大学,化学与环境工程学院,北京,100037 3. 北京理工大学,信息科学与技术学院,北京,100081 |
| 基金项目： | 北京市优秀人才项目，北京市教育委员会科技发展项目(KM200310011040) |
| 摘 要： | 提出了基于径向基函数(RBF)人工神经网络的SBR出水BOD值的软测量方法，并介绍了其原理。通过大量实测数据对RBF神经网络进行训练，仿真结果显示利用其可实现对SBR出水BOD值的软测量，为污水处理过程的在线实时控制创造了条件。 |
| 关 键 词： | SBR BOD值 软测量 RBF神经网络 |
| 文章编号： | 1000-4602(2004)05-0017-04 |
Soft Sensing Method Based on RBF Neural Network for Effluent BODfrom SBR |
|
| LIU Zai-wen,CUI Li-feng,QI Guo-qiang,HOU Chao-zhen,LIU Tai-jie.Soft Sensing Method Based on RBF Neural Network for Effluent BODfrom SBR[J].China Water & Wastewater,2004,20(5):17-20. | |
| Authors: | LIU Zai-wen CUI Li-feng QI Guo-qiang HOU Chao-zhen LIU Tai-jie |
| Affiliation: | LIU Zai-wen~1,CUI Li-feng~2,QI Guo-qiang~1,HOU Chao-zhen~3,LIU Tai-jie~2 |
| Abstract: | Soft sensing method was proposed for determination of effluent BOD from SBR and its principle was introduced,the method was based on the radial basic function (RBF) artificial neural network.The RBF neural network was trained and simulated by way of lot of observed data,and the result showed that the simulated RBF neural network may be used to fulfill soft sensing for effluent BOD from SBR,so as to create condition for real-time control of wastewater treatment process,showing a broad perspective in application. |
| Keywords: | SBR BOD soft sensing RBF neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |