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茶叶科学 ›› 2015, Vol. 35 ›› Issue (5): 465-472.doi: 10.13305/j.cnki.jts.2015.05.009

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人工神经网络在坦洋工夫红茶感官品质评定中的应用研究

潘玉成1, 叶乃兴2, 潘玉华3, 赵仕宇1   

  1. 1. 宁德职业技术学院机电工程系, 福建 福安 355000;
    2. 福建农林大学园艺学院, 福建 福州 350002;
    3. 宁德职业技术学院农业科学系,福建 福安 355000
  • 收稿日期:2014-12-30 修回日期:2015-05-17 出版日期:2015-10-15 发布日期:2019-08-26
  • 作者简介:潘玉成,男,副教授,主要从事自动控制、人工智能研究,E-mail:FAPYC@163.com
  • 基金资助:
    福建宁德市科技计划项目(20100011)

Application Research of Artificial Neural Network in Sensory Quality Evaluation of TanYang GongFu Black Tea

PAN Yucheng1, YE Naixing2, PAN Yuhua3, ZHAO Shiyu1   

  1. 1. Department of Mechanical and Electronic Engineering, Ningde Vocational and Technical College, Fuan 355000, China;
    2. College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China;
    3. Department of Agriculture Science, Ningde Vocational and Technical College, Fuan 355000, China
  • Received:2014-12-30 Revised:2015-05-17 Online:2015-10-15 Published:2019-08-26

摘要: 根据坦洋工夫红茶感官品质主要评定指标,采用BP神经网络建立了坦洋工夫红茶等级与其主要评定指标之间的非线性映射关系,实现了对坦洋工夫红茶等级的预测,并通过实验进行验证。研究表明,所构建的坦洋工夫红茶评审专家预测系统有较好的识别效果,实用性强,克服了许多人为误差,提高了茶叶评审的速度,评茶人员只需具备一定的茶叶审评知识,就能正确地对坦洋工夫红茶的等级进行评定。

关键词: 人工神经网络, 坦洋工夫红茶, 品质评定, 预测系统

Abstract: According to the main indexes of sensory quality evaluation in the TanYang GongFu black tea, the grade of tea and nonlinear mapping relationship in the main index was built by using BP Neural Network. Prediction of grade was achieved and all these have been proved by experiments. The results showed that expert prediction system of TanYang GongFu black tea possessed good recognition effect and strong practicality, could overcome subjective error caused by human and to improved the speed of tea assessment, the tasters who possessed the knowledge of tea assessment could correctly assessed the grade of tea.

Key words: artificial neural network, TanYang GongFu black tea, quality evaluation, prediction system

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