茶叶理条工艺的人工神经网络优化
CSTR:
作者:
作者单位:

(1. 安徽农业大学工学院,安徽 合肥 230031;2. 安徽农业大学茶树生物学与资源利用国家重点实验室,安徽 合肥 230031;3. 安徽农业大学茶与食品科技学院,安徽 合肥 230031)

作者简介:

王小勇(1992-),男,安徽农业大学在读硕士研究生。E-mail:763100184@qq.com

通讯作者:

中图分类号:

基金项目:

农业部茶叶机械产业体系项目(编号:11008702)


Optimization on tea carding technology by artificial neural network
Author:
Affiliation:

(1. Engineering College, Anhui Agricultural University, Hefei, Anhui 230031, China; 2. State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, Anhui 230031, China; 3. Tea and Food Science and Technology College, Hefei, Anhui 230031, China)

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    以六安绿茶为原料,研究理条温度、理条时间和投叶量对理条工艺的影响。在单因素试验的基础上,采用正交试验对理条工艺条件进行选择优化,得出最佳工艺组合为:理条温度90 ℃,理条时间5 min,投叶量1.0 kg;再对正交试验的结果进行多元一次回归和多元二次回归,建立人工神经网络模型。人工神经网络程序优化结果为:理条温度93 ℃,理条时间5 min,投叶量1.0 kg,优于正交试验的最佳工艺组合。

    Abstract:

    The influences were studied. from tea carding temperature, tea carding time and the amount of leaves on the processing, taking Lu'an green tea as material. Based on the single factor experiment, the optimum parameters were selected. The optimum parameters were as followed: carding temperature 90 ℃, carding time 5 min, and the amount of leaves 1.0 kg. Experimental data were subjected to multivariate first-order regression and multivariate quadratic regression, and two regressing equations were obtained. A neural network model based on the orthogonal experiment data was established to obtain the optimum parameters, final result for temperature at 93 ℃, tea carding time is 5 minutes, the amount of leaves is 1.0 kg, and the experimental result based on the parameters from the artificial neural network is better than that based on orthogonal experiment.

    参考文献
    相似文献
    引证文献
引用本文

王小勇,李兵,曾晨,等.茶叶理条工艺的人工神经网络优化[J].食品与机械,2016,32(1):103-105.
WANGXiaoyong, LIBing, ZENGChen, et al. Optimization on tea carding technology by artificial neural network[J]. Food & Machinery,2016,32(1):103-105.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2015-07-11
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2023-02-26
  • 出版日期:
文章二维码
×
《食品与机械》
友情提示
友情提示 一、 近日有不少作者反应我刊官网无法打开,是因为我刊网站正在升级,旧网站仍在百度搜索排名前列。请认准《食品与机械》唯一官方网址:http://www.ifoodmm.com/spyjx/home 唯一官方邮箱:foodmm@ifoodmm.com; 联系电话:0731-85258200,希望广大读者和作者仔细甄别。