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›› 2003, Vol. 29 ›› Issue (09): 86-.

• 论文 • 上一篇    下一篇

模糊数据挖掘技术在交通量预测中的应用

杨勇虎,钟骏杰,范世东,姚玉南   

  1. 武汉理工大学能源与动力学院,武汉理工大学能源与动力学院,武汉理工大学能源与动力学院,武汉理工大学能源与动力学院 武汉 430063
  • 发布日期:2003-05-15

Application of Data Mining Technology in Traffic Volume Forecast

YANG Yonghu, ZHONG Junjie, FAN Shidong, YAO Yunan   

  1. (Energy and Power Engineering College, Wuhan University of Science and Technology, Wuhan 430063)
  • Published:2003-05-15

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。

关键词: 交通量, 预测, 数据挖掘

Abstract: 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.

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