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| 污水处理过程的模糊神经网络控制 | |
| 引用本文： | 刘建勇,薛罡,刘中平,周雪飞,顾国维. 污水处理过程的模糊神经网络控制[J]. 工业水处理, 2003, 23(5): 9-12 |
| 作者姓名： | 刘建勇 薛罡 刘中平 周雪飞 顾国维 |
| 作者单位： | 1. 同济大学污染控制与资源化研究国家重点实验室,上海,200092 2. 东华大学环境科学与工程学院,上海,200051 3. 石家庄铁道学院建筑设计院,河北,石家庄,050043 |
| 基金项目： | 国家自然科学基金重点资助项目 ( 5 0 13 80 10 ),上海市重点学科资助项目) |
| 摘 要： | 模糊神经网络(FNN)技术的迅速发展及其理论的不断完善为其在各个领域的应用奠定了基础。分析了FNN用于污水处理系统过程控制的可行性和必要性。简述了模糊系统和神经网络在污水处理中应用的现状。指出针对不同污水处理工艺建立不同综合(集成)智能控制系统是污水生物处理过程控制的主要研究方向,同时应加强对污水处理的活性污泥数学模型、通用性预测与故障分析系统、“软测量”技术及在线生物传感器等相关理论与技术的研究。 |
| 关 键 词： | 污水处理过程 模糊神经网络控制 智能控制系统 生物处理 活性污泥法 数学模型 |
| 文章编号： | 1005-829X(2003)05-0009-04 |
Fuzzy neural network control used in the process of sewage water treatment |
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| Liu Jianyong ,Xue Gang ,Liu Zhongping ,Zhou Xuefei ,Gu Guowei. Fuzzy neural network control used in the process of sewage water treatment[J]. Industrial Water Treatment, 2003, 23(5): 9-12 | |
| Authors: | Liu Jianyong Xue Gang Liu Zhongping Zhou Xuefei Gu Guowei |
| Affiliation: | Liu Jianyong 1,Xue Gang 2,Liu Zhongping 3,Zhou Xuefei 1,Gu Guowei 1 |
| Abstract: | The rapid development of fuzzy neural network technology and the continuous consummation of its theory establish a stable basis for its application to many fields. The feasibility and necessarity to control wastewater treatment by using FNN technology are analyzed. The present situation of the application of fuzzy system and neural networks in wastewater treatment is simply described. It is pointed out that the main developing direction of wastewater bio treatment process control is to set up different integrated intelligent control systems aiming at different treatment processes. At the same time, studies should be enhanced on Activated Sludge Model, prediction and fault analysis system, "soft measurement" technology and online bio sensors. |
| Keywords: | wastewater treatment intelligent control fuzzy control artificial neural networks control |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |