虽然膜堵塞定律和人工神经网络模型被广泛应用于膜过滤系统的模拟及预测中,然而这些模型在恒定流系统中的应用却很少,目前关于膜阻塞定律模型与神经网络模型的比较性研究几乎空白.在对膜堵塞定律与神经网络模型的模拟性能进行评价的基础上,通过模型对实验特定阶段的拟合揭示了膜污染的机理. Although the membrane plugging laws and artificial neural network models are widely used in the simulation and prediction of membrane filtration systems, these models are rarely used in constant flow systems. At present, the comparative studies on the membrane occlusion law model and the neural network model Almost blank.Based on the evaluation of the membrane clogging law and the simulation performance of the neural network model, the mechanism of membrane fouling was revealed through fitting the model to a specific stage of the experiment.