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《Acta Electronica Sinica》 2009-05
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Research of Urban Traffic Flow Forecasting Based on Neural Network

MA Jun,LI Xiao-dong,MENG Ying (Department of Computer Science,Xi′an University of the Finance and Economics,Xi′an,Shaanxi 710065,China)  
A dynamic traffic flow forecasting model based on neural network is proposed.BP and RBF neural network are used to build the forecasting models.The data pre-handle method and the judgment criterion of the forecasting model are given.Simulation shows the traffic flow forecasting method is effective,and the RBF can be more fast and effective in forecasting the traffic flow by simulation analysis.
【Fund】: 陕西省自然科学基金(No.SJ08F32);; 陕西教育厅自然科学研究项目(No.08JK290)
【CateGory Index】: TP183
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