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Hybrid models based on backpropagation neural network (BPNN) and genetic algorithm (GA) were constructed to optimize the fabrication of polyetherimide (PEI) ultrafiltration (UF) membrane via dry/wet phase inversion. BPNN was employed to capture the detailed relationships between the preparation conditions and the UF membrane performances, and GA was used to choose the initial connection weights and...
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