关于恒流状态下膜堵塞定律与神经网络模型的比较研究

A Comparison Study between Membrane Blocking Laws and Artificial Neural Network(ANNs)Model in Constant Flowrate Condition

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.

Both the blocking laws and ANNs models have been used frequently in membrane filtration process in recent years.However,specially applying these models in the constant flowrate condition with synthetic surface water is a rare case.Further,there has few literature been found to compare the performance of purely mathematic and mechanical model(blocking laws) with the so-called 'black-box' ANNs model.The performance of both blocking laws and ANNs model is evaluated.The dominant fouling mechanisms in a specific experimental period is also identified based on the individual model fitting performance.