现代电子技术2012，Vol.35Issue(9)：119-121,124,4.
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
余佳 1李益华1
作者信息
- 1. 长沙理工大学电气与信息工程学院,湖南长沙410114
- 折叠
摘要
Abstract
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 Macau. 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Key words
WEKA/ data mining/ characteristic parameter/ vehicle-type classification分类
信息技术与安全科学引用本文复制引用
余佳,李益华..一种基于数据挖掘的车型自动分类方法的研究[J].现代电子技术,2012,35(9):119-121,124,4.
