摘要
以某大型集成式小区污水处理为背景,为保证回用出水达标,需对排放污水进行检测。以出水总氮为主要检测指标,提出了基于遗传算法联合径向基函数神经网络的软测量模型,利用已知的进水数据来预测出水总氮。通过模型仿真结果表明,预测值和实测值能较好地吻合。
In this paper,a large-scale integrated sewage treatment as the background,in order to ensure the reuse water standard, detect discharge sewage.In this paper the effluent total nitrogen as main indexes,is proposed based on genetic algorithm combined with radial basis function neural network soft measurement model,using the known data to predict the effluent total nitrogen in water.Through the model,the simulation results show that, the predicted and measured well consistent.
出处
《工业控制计算机》
2012年第6期37-38,40,共3页
Industrial Control Computer
关键词
污水处理
软测量
神经网络
遗传算法
sewage treatment,soft measurement,neural network,genetic algorithm
