Research on Urban Traffic Incident Forecast Information Mining Based on Neural Networks
This paper introduces some basic related theories of data mining technique,including the basic perception and main related methods.Then this paper presents the disadvantages of the conventional methods and fuzzy neural networks.which has the advantaRes of high precision and fast convergence speed.Moreover,the urban traffic incident forecast system has been developed which takes advantages of this improved method.Finally.this paper discusses the promising developments and some related applications of the information mining technique based on this method.
Data mining Fuzzy neural networks Incident Forecast System Urban traffic
ZHU Yin ZHAI Runping
国际会议
The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)
成都
英文
565-568
2007-12-19(万方平台首次上网日期,不代表论文的发表时间)