| BP神经网络结合遗传算法用于丹参提取工艺的多目标优化 |
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| 引用本文： | 杨铭,汪文娟. BP神经网络结合遗传算法用于丹参提取工艺的多目标优化[J]. 药学服务与研究, 2007, 7(6): 417-421 |
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| 作者姓名： | 杨铭 汪文娟 |
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| 作者单位： | 1. 上海中医药大学附属龙华医院药剂科,上海,200032
2. 上海中医药大学中药学院中药教研室,上海,201203 |
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| 摘 要： | 目的:使用BP神经网络结合遗传算法用于丹参提取工艺的多目标优化。方法:通过已知文献的丹参提取工艺优化实例,采用均匀设计法优化BP神经网络模型参数,并建立网络模型,再利用遗传算法对网络进行多目标寻优,获得丹参最佳提取工艺。结果:BP神经网络结合遗传算法用于丹参提取工艺的多目标优化,模型拟合度和预测性均高于文献采用的多元回归法。结论:BP神经网络结合遗传算法可用于丹参提取工艺的多目标优化。
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| 关 键 词： | 丹参 提取法 神经网络(计算机) 遗传算法 多目标优化 |
| 文章编号： | 1671-2838（2007）06-0417-05 |
| 收稿时间： | 2007-04-30 |
| 修稿时间： | 2007-11-08 |
Back-propagation neural network and genetic algorithm for multi-objective optimization of extraction technology of Salvia miltiorrhiza Bge. |
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| YANG Ming,WANG Wen-juan. Back-propagation neural network and genetic algorithm for multi-objective optimization of extraction technology of Salvia miltiorrhiza Bge.[J]. Pharmaceutical Care and Research, 2007, 7(6): 417-421 |
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| Authors: | YANG Ming WANG Wen-juan |
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| Abstract: | Objective: To introduce back-propagation(BP) neural network and genetic algorithm for multi-objective optimization of extraction technology of Salvia miltiorrhiza Bge..Methods: BP neural network was established and optimized with uniform design method based on the data in literature of optimization of extraction process of Salvia miltiorrhiza Bge.Genetic algorithm was used for multi-objective optimization to obtain optimal extraction technology of Salvia miltiorrhiza Bge..Results:With BP neural network and genetic algorithm for multi-objective optimization of extraction technology of Salvia miltiorrhiza Bge.,the fitting and prediction were better than those of the multiple regression reported in literature.Conclusion: BP neural network and genetic algorithm for multi-objective optimization of extraction technology of Salvia miltiorrhiza Bge.is advisable. |
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| Keywords: | Salvia miltiorrhiza extraction neural network(computer) genetic algorithm multi-objective optimization |
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