%0 Journal Article
%T Study on Traffic Flow Forecast Model in Adaptive Signal Control System<br>自适应信号控制系统流量预测模型研究
%A YU De-xin
%A YANG Zhao-sheng
%A LIN Ci-yun
%A <br>于德新
%A 杨兆升
%A 林赐云
%J 系统工程理论与实践
%D 2006
%I 
%X In order to develop traffic flow forecast model that suit to adaptive signal control system.In this paper,ARIMA model are used to pre-handle data.On-line adjust study rate and momentum are introduced to improve high-order generalized neural network(HGNN),so as to solve the problems of slow astringency and local minimum.Experimental results have shown that the precision and necessary time of prediction data is suit for adaptive signal control system to do frequent,real-time,on-line optimized.
%K traffic flow forecast
%K high-order generalized neural network
%K adaptive signal control system
%K ARIMA<br>流量预测
%K 高阶神经网络
%K 自适应信号控制系统
%K ARIMA模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=BA0DD817B6AA02C3&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=59906B3B2830C2C5&sid=7C72DBC13F2D71EC&eid=58F693790F887B3B&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=0&reference_num=11