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。简述了FNN技术的发展以及在污水处理过程中的应用现状和重要性,详述了模糊神经网络控制在MSBR法污水处理中的应用,提出了一个具有5层的模糊神经网络控制器,通过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 rapid development of Fuzzy Neural Network（FNN） technology and the continuous consummation of its theory establish a stable basis for its application to many fields. The development and application status of FNN technology are recounted simply in this paper. And we expatiate fuzzy neural network control used in wastewater treatment by MSBR. An effective fuzzy neural network controller is proposed. Through simulation test the result shows that the system gives strong robustness and good dynamic characteristics. It is used to control of dissolved oxygen and forecast of water quality. The result indicates that thickness of dissolved oxygen can reach expectation fleetly and effectively and the model has better forecasting precision and faster convergence.
出处
《现代电子技术》
2006年第18期54-56,59,共4页
Modern Electronics Technique
基金
四川省教育厅重点科研项目(2003A1067)
