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4.7倍。To explore an optimal preparation method of angiotensin converting enzyme (ACE) inhibitor peptides from Porphyra yezoensis with protease, several conditions about batch membrane reaction with raw material feeding were attempted in enzymatic membrane reactor. Radial basis function neural network (RBF-ANN) models were employed to optimize the condition. Some parameters were optimized based on cross-validation to calibrate a robust model. The optimal operating conditions for the maximum protein conversion rate obtained by the model were as followings: substrate concentration 1.0g/mL, enzyme concentration 4%, reaction temperature 50℃, pH value 9.0, pump rotation speed 300 r/min and reaction time 60 min. Under these conditions, protein conversion rate was 55.67%, the yield of peptides was 22.27%, quantity of peptides per gram of enzyme was 13.91 and IC50 was 0.492mg/mL. Base on the optimum conditions enzyme membrane reaction with continuous feeding Porphyra yezoensis was also studied: compared to the traditional methods, protein conversion rate improved by 21.98%, yield of peptides increased by 8.79%, and quantity of peptides per gram of enzyme was improved by 4.7 times.