BAF处理系统的BP神经网络模型

本文以某污水处理厂曝气生物滤池（Biologlcal aerated filter，BAF）的实际运行数据为基础，采用人工神经网络（Artificial neural network，ANN）方法，建立起BAF处理系统的BP神经网络预测模型。模型运算结果表明，预测值和实测值能较好地吻合，起到了模拟预测的效果，同时能优化运行状态。该模型的建立为BAF处理系统的预测及运行管理供了一条简便实用的途径，具有良好的研究和工程实用价值。

BP Neural Network Model for BAF Treatment System

In this paper, based on practical operation data from the biologicalaerated filter （BAF） of a sewage treatment plant, a predicting model of BP neutral network for BAF treatment system was set up using the method of artificial neural network （ANN） . Operation Results of the model showed that the predicting values fitted the observed ones well, which had a good performance to simulate the prediction effect as well as to optimize the running state. The establishment of this model provided a simple and practical approach for prediction and operation management of BAF treatment system. So it had good practical utility for researches and projects.