【作者】 孔庆杰； 张锦宝； 林姝；

【Author】 KONG Qing-jie ZHANG Jin-bao LIN Shu(1.School of Control Science and Engineering,Shandong University,Jinan 250061,China;2.Chemical Project School of Shandong Province,Jinan 250013,China)

【机构】 山东大学控制学院； 山东省化工规划设计院；

【摘要】 结合交通流预测的特点,提出一种基于正交小波网络的路段交通流预测方法,把混沌优化算法引入正交小波网络的拓扑构造,给出了一种基于混沌优化算法的正交小波网络交通流量预测模型.实验结果表明,基于混沌优化算法的小波网络在交通流预测的精度和收敛速度方面明显优于常规BP网络.更多还原

【Abstract】 According to the characteristics of traffic flow,this paper proposes a new model of traffic flow fore- casting based on orthogonal wavelet networks and the forecasting algorithm of comparable time intervals.The structures of wavelet networks are optimized with a modified chaos optimization algorithm.The results of exper- iment show that this model is superior to the common BP neural networks in the aspects of flow forecasting pre- cision and network convergence.更多还原