摘要
城市公路交通量预测不仅对于区域交通规划有重大意义 ,而且还直接影响到交通控制的效果。在预测前采集的数据比较多时，系统复杂，精确化能力会降低，即模糊性更强，因而仅靠复杂的算法和推理并不能完全发现知识。该文基于数据挖掘技术，提出了一种模糊数据挖掘方法。
Traffic volume forecast is not only important to region traffic plan, but also has a direct effect on result of traffic control.When collecting data is much more before forecasting,the system is complicated and the ability of precise is very low.That is to say,the fuzzy is more obvious.So the knowledge can't be found completely by complex algorithm and reasoning.The paper proposes a method of fuzzy data mining(FDM) based on data mining technology.
出处
《计算机工程》
CAS
CSCD
北大核心
2003年第9期78-79,95,共3页
Computer Engineering
关键词
交通量
预测
数据挖掘
Traffic volume
Forecast
Data mining
