食品科学 ›› 2003, Vol. 24 ›› Issue (6): 161-164.

• 专题论述 • 上一篇    下一篇

人工神经网络在食品工业中的应用

 李冰, 郭祀远, 李琳, 吴建文   

  1. 华南理工大学食品与生物工程学院
  • 出版日期:2003-06-15 发布日期:2011-12-13

 LI  Bing, GUO  Si-Yuan, LI  Lin, WU  Jian-Wen   

  • Online:2003-06-15 Published:2011-12-13

摘要: 人工神经网络具有非线性的自适应的信息处理能力,已广泛地用于化工、通信等领域。本文综述了神经网络在食品上的应用情况,包括在食品的分类和分级,食品加工过程的仿真和控制,外来物与掺假物的鉴别,气味分析以及感观评定等方面的应用。在此基础上,对神经网络在食品工业上的应用前景进行了探讨。

关键词: 人工神经网络, 食品, 分级, 仿真, 控制

Abstract: Artificial neural network (ANN) has been widely employed in chemical industry, communication, etc. With its uniqueabilities of non-linearly and adaptively processing data. In this paper, the application of neural network on food industry wasreviewed. ANN was applied to food classification, food processing simulation and control, foreign objects detection, odoranalysis and sensory evaluation. The prospect of ANN on food industry was further discussed.

Key words: artificial neural network, food, classification, simulation, control