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电子鼻技术在猪肉新鲜度识别中的应用
引用本文:孙钟雷. 电子鼻技术在猪肉新鲜度识别中的应用[J]. 肉类研究, 2008, 0(2): 50-53
作者姓名:孙钟雷
作者单位:长江师范学院,生命科学系,重庆涪陵,408003
摘    要:根据猪肉的气味特征,建立了一套用于猪肉新鲜度识别的电子鼻系统。通过分析猪肉的腐败机理,合理选用了气敏传感器阵列。依据猪肉的新鲜度模式,确定了遗传优化的组合RBF神经网络作为模式识别方法。试验结果表明,本文的电子鼻系统对猪肉新鲜度的识别率达95%,优于其它识别系统。

关 键 词:猪肉新鲜度  电子鼻  遗传算法  组合神经网络
文章编号:1001-8123(2008)02-0050-04

Application of Electronic Nose Technology in Pork Freshness Recognition
Sun Zhong-lei. Application of Electronic Nose Technology in Pork Freshness Recognition[J]. Meat Research, 2008, 0(2): 50-53
Authors:Sun Zhong-lei
Affiliation:Sun Zhong-lei (Department of Life Science; Yangtze Normal University; Chongqing Fuling 408003);
Abstract:An electronic nose system was designed for monitoring meat freshness according of pork smell. By analyzing the rottenness mechanism of meat,an array of gas sensors was selected.The composite GA-RBF network was applied in the research of the electronic nose system.Experiments were conducted and results show that the recognition rate of this system is 95%,which is higher than that of other systems.
Keywords:Pork freshness  Electronic nose  Genetic algorithm  Compsite neural network
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