Two artificial intelligence techniques, namely artificial neural network (ANN)\r\nand genetic algorithm (GA) were combined to be used as a tool for optimizing the covalent\r\nimmobilization of cellulase on a smart polymer, Eudragit L-100. 1-Ethyl-3-(3-\r\ndimethyllaminopropyl) carbodiimide (EDC) concentration, N-hydroxysuccinimide (NHS)\r\nconcentration and coupling time were taken as independent variables, and immobilization\r\nefficiency was taken as the response. The data of the central composite design were used to\r\ntrain ANN by back-propagation algorithm, and the result showed that the trained ANN\r\nfitted the data accurately (correlation coefficient R2 = 0.99). Then a maximum\r\nimmobilization efficiency of 88.76% was searched by genetic algorithm at a EDC\r\nconcentration of 0.44%, NHS concentration of 0.37% and a coupling time of 2.22 h, where\r\nthe experimental value was 87.97 �± 6.45%. The application of ANN based optimization by\r\nGA is quite successful.
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