›› 2009, Vol. 11 ›› Issue (S1): 75-78.

• 方法与技术探讨 • 上一篇    下一篇

一种猪肉新鲜度智能检测方法初探

吴浩,郭培源,陈天华   

  1. (北京工商大学信息工程学院, 北京 |100048)
  • 收稿日期:2009-08-15 修回日期:2009-10-20 出版日期:2009-12-16 发布日期:2009-12-15
  • 通讯作者: 郭培源,教授,博士,研究方向为嵌入式系统微电子及光电控制。E-mail:ggppyy@126.com
  • 作者简介:吴浩,硕士研究生,研究方向为检测技术与自动化装置。
  • 基金资助:

    北京市自然科学基金项目(4092012)资助。

A New Method on Rapid Detection of Pork Freshness with Artificial Intelligence

WU Hao, GUO Pei-yuan, CHEN Tian-hua   

  1. (College of Information Engineering, Beijing Technology and Business University, Beijing 100048, China)
  • Received:2009-08-15 Revised:2009-10-20 Online:2009-12-16 Published:2009-12-15

摘要:

从多角度评判肉类新鲜度,融合各项新鲜度判别数据指标,通过人工神经网络的拟合训练,建立起检测模型,达到智能检测。在应用中,利用建立好的模型,在输入猪肉特征参数下,模型输出新鲜度的判定结果TVB-N,为猪肉新鲜度检测提供了一种高效快速方案。

关键词: 猪肉新鲜度;智能检测;TVB-N;神经网络

Abstract:

To do judgment on pork freshness from multi-aspect, with integration of each index and through the imitation with artificial neural network, a model is established to serve as a rapid effective method for detection of pork freshness,which provides the judgment results TVB-N in application with inputting the characteristic parameters. A fast and efficient plan of detecting meat freshness is provided.

Key words: pork freshness, intelligent detection, TVB-N, neural network

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