一种基于数据挖掘的车型自动分类方法的研究  

Method of vehicle automatic classification based on data mining

作　　者：余佳[1] 李益华[1] 

机构地区：[1]长沙理工大学电气与信息工程学院,湖南长沙410114

出　　处：《现代电子技术》2012年第9期119-121,124,共4页Modern Electronics Technique

摘　　要：车型分类的合理性是提高车型识别准确性的一种有效途径,也是学术界研究的热点问题。通过对各种复杂环境下采集车型的特征数据进行分析,提出了一种基于数据挖据的车型自动分类方法。目前,该方法已应用到京港澳某收费站,结果显示基于该方法的车型分类标准对车型识别的准确度能够达到96%以上。Rationality of automobile classification is not only an effective means of enhancing the accuracy of automobile category recognition but also a hot topic among the academics.By collecting the characteristics parameters of vehicle-type to dada analysis base on a variety of complex environment,a method of automobile classification based on data mining is proposed in this paper.Currently,this method was applied to road toll collection points in Beijing,Hong Kong and Macao.The result shows that the accuracy of vehicle-type classification exceeding 96% base on the method of automobile category recognition.

关 键 词：WEKA 数据挖掘 特征参数 车型分类 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]