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关于恒流状态下膜堵塞定律与神经网络模型的比较研究
引用本文:刘崎峰,王琦.关于恒流状态下膜堵塞定律与神经网络模型的比较研究[J].内蒙古大学学报(自然科学版),2012,43(5):551-560.
作者姓名:刘崎峰  王琦
作者单位:内蒙古大学环境与资源学院,呼和浩特市,010021
基金项目:国家自然科学基金资助项目(51108225);内蒙古大学人才高层次引进基金项目(Z20090111)
摘    要: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.

关 键 词:堵塞定律  神经网络模型  膜污染  模拟

A Comparison Study between Membrane Blocking Laws and Artificial Neural Network(ANNs)Model in Constant Flowrate Condition
LIU Qi-feng , WANG Qi.A Comparison Study between Membrane Blocking Laws and Artificial Neural Network(ANNs)Model in Constant Flowrate Condition[J].Acta Scientiarum Naturalium Universitatis Neimongol,2012,43(5):551-560.
Authors:LIU Qi-feng  WANG Qi
Institution:(College of Environment and Resources,Inner Mongolia University,Hohhot 010021,China)
Abstract: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.
Keywords:blocking law  ANNs  fouling  prediction
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