摘要
交通量预测对于区域交通规划有重要意义。提出一种基于支持向量机理论的交通量预测方法。该方法以统计学习理论为基础,通过和BP神经网络进行比较的实验,证明其在交通量预测中的有效性。
Traffic volume forecast is very important to region traffic plan. A new method based on SVM for the traffic volume forecast is presented. SVM algorithm is based on statistical theory. Analysis of the experimental results proved that the algorithm of could achieve much effective than that of BP neutral network.
出处
《信息技术》
2004年第4期8-10,共3页
Information Technology
关键词
支持向量机
统计学习理论
交通量预测
support vector machines(SVM)
statistical learning theory
traffic volume forecast
