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ZHANG Ji-xing, CHEN Yan-zhong. Optimization of the process parameters of Baeckeae oil-β-cyclodextrin inclusion complex by artificial neural network and genetic algorithm[J]. Journal of China Pharmaceutical University, 2011, 42(4): 324-328.
Citation: ZHANG Ji-xing, CHEN Yan-zhong. Optimization of the process parameters of Baeckeae oil-β-cyclodextrin inclusion complex by artificial neural network and genetic algorithm[J]. Journal of China Pharmaceutical University, 2011, 42(4): 324-328.
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Optimization of the process parameters of Baeckeae oil-β-cyclodextrin inclusion complex by artificial neural network and genetic algorithm

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  • The preparation process was optimized by U11(1110) uniform design,and a mathematical model of relationship between the independent and dependent variables was established by using back-propagation（BP）artificial neural networks（ANN）,the process parameters were optimized with genetic algorithm(GA).The optimum process was established as follows:7.1 as the ratio of β-cyclodextrin to Baeckeae oil,46.6 °C as temperature for inclusion,149.9 min as duration of stirring and 417.8 r/min as stirring rate.The average drug-loading rate 11.89% and inclusion yield 89.55%(n=3) were the results of the verification test of the inclusion complex according to the optimized process parameters,and they were better than any orther results among the uniform design.Combining BP ANN modeling with GA provided an effective way to solve the multi-dimensional optimization problem of nonlinear systems in pharmaceutical technology.
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