| 引用本文:王迪磊，宋乃琪，杨凯丽，杨麒琳，郭子硕，肖五庆，杨天姿，李鹏跃，杜守颖.反向传播人工神经网络结合正交试验优化荷叶降脂方的提取工艺[J].世界中医药,2023,(11):. |
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| 反向传播人工神经网络结合正交试验优化荷叶降脂方的提取工艺 |
| Optimization of the Extraction Process of Heye Jiangzhi Prescription by BP Artificial Neural Network Combined with Orthogonal Test |
| 投稿时间：2021-11-18 |
| DOI：10.3969/j.issn.1673-7202.2023.11.007 |
| 中文关键词: 荷叶降脂方 高脂血症 荷叶碱 提取工艺 正交试验 反向传播人工神经网络 |
| English Keywords:Heye Jiangzhi Prescription Hyperlipidemia Nuciferine Extraction process Orthogonal test BP artificial neural network |
| 基金项目:国家自然科学基金青年科学基金项目(81803738)——不同药性芳香药促进不同机械强度纳米制剂经鼻入脑的多尺度研究 |
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| 中文摘要: |
| 目的：使用反向传播(BP)人工神经网络结合正交试验优化荷叶降脂方中药物的提取工艺，为药物的规范化生产和产业化形成提供可靠的研究基础。方法:采用水回流提取法提取，以荷叶碱的含量为评价指标，以正交试验设计筛选提取工艺，并将正交试验层次分析法得到的实验数据作为反向神经网络的输入层，评价指标的综合得分作为网络的输出层，对主要影响因素进行仿真优化，得到最优提取工艺。结果：优化得到的提取工艺条件为12倍量水、提取3次、0.5 h/次。结论：BP人工神经网络结合正交试验方法可用于荷叶降脂方提取工艺的优化，科学合理，稳定可行，符合中药制剂研发的需求。 |
| English Summary: |
| To optimize the extraction process of drugs in Heye Jiangzhi Prescription by backpropagation(BP) artificial neural network combined with the orthogonal test to provide a reliable research basis for the standardized production and industrialization of drugs.Methods:The water reflux extraction method was used for extraction.The content of nuciferine was used as the evaluation index，and the extraction process was screened by orthogonal test design.The experimental data obtained by the orthogonal test analytic hierarchy process was used as the input layer of BP neural network，and the comprehensive score of the evaluation index was used as the output layer of the network.The main influencing factors were simulated and optimized to obtain the optimal extraction process.Results:The optimized extraction conditions were as follows：12 times the amount of water，extraction three times，and 0.5 h each time.Conclusion:BP artificial neural network combined with the orthogonal test can be used to optimize the extraction process of Heye Jiangzhi Prescription，which is scientific，reasonable，stable and feasible，and meets the needs of Chinese medicinal preparation research and development. |
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