Abstract:Protein fouling is a complex mechanism. To enhance understanding
on protein fouling of membranes, the target of this study is twofold:
(i) to determine the relative influences of parameters via the Random
Forest (RF) model and (ii) to evaluate the predictive capability of
the Neural Network (NN) model. Membrane pore size is the most dominant
influence on fouling followed by transmembrane pressure (TMP), while
membrane configuration (i.e., flat-sheet, hollow fiber, or tubular)
is the least dominant. The NN mode… Show more
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