基于神经网络的ETC收费广场服务水平分类方法

Method of service level classification for ETC toll plaza based on neural network

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 selforganization 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.