人工神经网络在油漆废水混凝氧化处理建模中的应用

Application of Artificial Neural Network in Modeling Paint Waste Water Treated by Coagulation Oxidation Process

利用改进的B -P算法 ,对油漆废水混凝氧化处理系统建立了人工神经网络模型 ,并利用该模型拟合、预测了一些实验数据。结果表明 ,模型的计算值与实测数据之间的误差很小 ,而且能正确反映各影响因素作用的内部机理。

An artificial neural network (ANN) model was established based on data of paint waste water treated by coagulation oxidation process, using the improved back propagation algorithm. The model was then used to fit and predict some experimental data. The results indicated that the errors between computed data and experimental data were much small. Furthermore, the ANN model could correctly reflect the mechanism of some factors which affected the efficiency of paint waste water treatment.