Research Papers by Albert S. Kim

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Prediction of permeate flux decline in crossflow membrane filtration of colloidal suspension: a radial basis function neural network approach The capability of a radial basis function neural network (RBFNN) to predict long-term permeate flux decline in crossflow membrane filtration was investigated. Operating conditions of transmembrane pressure and filtration time along with feed water parameters such as particle radius, solution pH, and Desalination 192 (2006)

Prediction of permeate flux decline in crossflow membrane filtration of colloidal suspension: a radial basis function neural network approach

The capability of a radial basis function neural network (RBFNN) to predict long-term permeate flux decline in crossflow membrane filtration was investigated. Operating conditions of transmembrane pressure and filtration time along with feed water parameters such as particle radius, solution pH, and

Desalination 192 (2006)

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