摘要
对模糊神经网络(FNN)技术应用于污水处理进行了研究,提出了一个具有五层的模糊神经网络控制器,仿真实验表明,该控制系统具有很强的鲁棒性与容错性。该控制器能够自动调整隶属度函数、动态优化控制规则,将其应用于溶解氧控制和出水水质预测,结果表明可以快速、有效地使溶解氧浓度达到期望值,实际出水水质预测结果也具有很好的收敛性和预测精度。
The study on fuzzy neural network control used in wastewater treatment is introduced. An effective fuzzy neural network controller is proposed. The simulation result shows that the system gives strong robustness and good dynamic characteristics. It is used to control dissolved oxygen and forecast water quality. The result indicates that the concentration of dissolved oxygen can reach expectation fleetly and effectively and the model has better forecasting precision and faster convergence.
出处
《环境污染治理技术与设备》
CSCD
北大核心
2006年第12期100-103,共4页
Techniques and Equipment for Environmental Pollution Control
基金
四川省教育厅重点科研项目(2003A106)
关键词
模糊神经网络
污水处理
模型
fuzzy neural network
wastewater treatment： modal
