| 基于神经网络和遗传算法的中药滴丸制剂过程建模与优化 |
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| 引用本文： | 张宇飞,邵秀丽,雷建军.基于神经网络和遗传算法的中药滴丸制剂过程建模与优化[J].计算机工程与应用,2005,41(2):191-193,216. |
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| 作者姓名： | 张宇飞 邵秀丽 雷建军 |
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| 作者单位： | 南开大学信息与技术科学学院,天津,300071 |
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| 基金项目： | 国家863高技术研究发展计划项目(编号:2003AA415910) |
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| 摘 要： | 该文以提高中药滴丸制剂过程的成品率为目标,建立了以工艺参数为输入、成品率为输出的制剂过程神经网络模型,并利用遗传算法对模型输入参数空间进行寻优,确定成品率最高时所对应的工艺参数标称值,经生产检验证明利用优化后工艺参数进行生产能使制剂过程的成品率平均提高2.6个百分点。
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| 关 键 词： | 中药滴丸制剂 神经网络 遗传算法 建模与优化 |
| 文章编号： | 1002-8331-(2005)02-0191-03 |
Modeling and Optimization of Chinese Materia Medica Pilule Manufacturing Process Based on Neural Network and Genetic Algorithm |
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| Zhang Yufei,Shao Xiuli,Lei Jianjun.Modeling and Optimization of Chinese Materia Medica Pilule Manufacturing Process Based on Neural Network and Genetic Algorithm[J].Computer Engineering and Applications,2005,41(2):191-193,216. |
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| Authors: | Zhang Yufei Shao Xiuli Lei Jianjun |
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| Abstract: | For improving the yield of Pipule,one model of Pilule Manufacturing Process based on neural network is proposed whose inputs are technological parameters and output is the yield of Pipule.Then Genetic Algorithm is used to optimize the input technological parameters of the model.The Pipule yield increases by2.6%when the optimal parame-ters are applied to the Pilule Manufacturing Process. |
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| Keywords: | Chinese materia medica pipule neural network genetic algorithm modeling and optimization |
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