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首页> 外文会议>Innovations in Intelligent Systems and Applications (INISTA), 2012 International Symposium on >An electronic nose system for assessing horse mackerel freshness
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An electronic nose system for assessing horse mackerel freshness

机译：电子鼻系统，用于评估竹荚鱼的新鲜度

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摘要

An electronic nose is developed and applied to freshness test of the horse mackerels. 8 metal oxide gas sensors are used in the electronic nose. The data obtained from the electronic nose are processed with baseline manipulation, normalization, feature extraction, feature subset selection and classification stages respectively. Only one feature is extracted from each sensor. So every odor has 8 features. The classification of freshness is implemented with k-nearest neighbor, artificial neural network and decision tree methods and the success rates of three methods are compared with each other. It is observed that decision tree method is the best of these tree methods for freshness classification of the horse mackerels.
机译：开发了电子鼻并将其用于竹荚鱼的新鲜度测试。电子鼻中使用了8个金属氧化物气体传感器。从电子鼻获得的数据分别通过基线处理，归一化，特征提取，特征子集选择和分类阶段进行处理。每个传感器仅提取一个特征。因此，每种气味都有8个特征。通过k近邻，人工神经网络和决策树方法对新鲜度进行分类，并比较了三种方法的成功率。可以看出，决策树方法是这些鲭鱼新鲜度分类中最好的树法。

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