摘要
鉴于采用数学建模的方法来划分服务水平的复杂性以及Kohonen网络的自组织学习能力和良好的鲁棒性,提出了利用Kohonen网络对收费广场服务水平进行分类的方法,并用该方法对一个含有不停车收费方式(ElectronicTollCollection,ETC)与停车收费方式的收费广场服务水平进行了分类,结果表明该方法是很有实用价值的。
In view of the difficulty and complexity of mathematical and physical method to classify the service levels and the good selforganization behavior and robustness of Kohonen neural network, this paper applied Kohonen neural network to classify the service levels for a certain toll plaza with ETC toll lanes and stop toll lanes. The results indicate that this method is potentially applicable in practice. 2 tabs,2 figs,8 refs.
出处
《交通运输工程学报》
EI
CSCD
2003年第3期93-95,116,共4页
Journal of Traffic and Transportation Engineering
