摘要
介绍了人工神经网络的BP算法,建立了基于Matlab神经网络工具箱的交通流量预测模型,并以实际道路交叉口为例进行2小时40分,分时段的数据采集,利用模型进行短时流量预测。
The model of the artificial neural networks BP algorithm is introduced, and the traffic flow forecast model based on the Matlab neural network toolbox is established. We also forecast the traffic flow through sampiing the data during 2 hours and 40 minutes in a actual street intersection.
出处
《信息技术》
2006年第10期36-38,共3页
Information Technology
基金
2004年院基金项目(B04011)
关键词
神经网络
预测模型
交通流量
BP网络
neural network
forecasting model
traffic flux
back propagation network
