四川农业大学学报 ›› 2009, Vol. 27 ›› Issue (02): 193-198.

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人工神经网络在落叶松树皮低聚原花色素级分分离的模拟

郭俊凌1, 杜晓1,2   

  1. 1. 四川农业大学 园艺学院, 四川 雅安 625014;
    2. 四川省茶业科学与工程重点实验室, 四川 雅安 625014
  • 收稿日期:2009-03-13 出版日期:2009-06-30 发布日期:2017-02-28
  • 通讯作者: 杜晓(E-mail:duxiao@vip.163.com) E-mail:duxiao@vip.163.com
  • 基金资助:
    四川农业大学"国家大学生创新型实验计划"基金(081062638)

Artificial Neural Network in Simulation of OPC Extraction System from Bark of Larix gmelini

GUO Jun-ling1, DU Xiao1,2   

  1. 1. College of Horticulture, Sichuan Agricultural University, Yaan 625014, Sichuan, China;
    2. The Key Laboratory of Tea Science and Engineering of Sichuan, Sichuan Agricultural University, Yaan 625014, Sichuan, China
  • Received:2009-03-13 Online:2009-06-30 Published:2017-02-28

摘要: 为了预测落叶松低聚原花色素制备产率,从萃取动力学角度分析了低聚原花色素在乙酸乙酯萃取过程,分析出了影响产率的几个重要外界因素,利用BP神经网络模型建立了低聚原花色素级分分离模型,以物料量、萃取剂量、萃取温度、震荡时间为输入信息,以低聚原花色素产率为网络输出。将实际的7组随机数据进行验证性运算,神经网络模型的预测误差平均为2.73%,与常规的二次多项式回归模型比较,误差降低了42.8%,这说明BP神经网络模型预测精度高,与实验结果吻合良好,从而有效的预测低聚原花色素级分分离过程的产率,进一步发展,该模型可为放大到工业设计提供科学依据。

关键词: 神经网络, 低聚原花色素, 萃取, 模拟

Abstract: In order to predict the export rate of Olgomeric proanthocyanidins(OPC), we analyse the extraction process of OPC by extraction kinetics, with the conclusion of several factors affecting the export rate of OPC. An prediction model of export rate of OPC based on BP neural network was set up with four selected inputs factors:Material volume, extraction agent volume, temperature and Vibration time. Compared with mode of square polynomial equation, Artificial neural network simulation mode showed that the relative error on average was 2.73%, which was decreased by 42.8% in contrast with that of the mode of square polynomial equation. Therefore, the artificial neural network simulation mode well coincided with experimental results with high precision, and the BP neural network was an effective way to predict the export rate of OPC. With further development, this model is able to provide scientific basis for industrial design.

Key words: neural network, olgomeric proanthocyanidins, extraction, simulation

中图分类号: 

  • S03