软件导刊2016，Vol.15Issue(1)：37-39,3.DOI:10.11907/rjdk.1511207
小波神经网络在短时交通流中的应用
The Application of Wavelet Neural Network in Short-Term Traffic Flow
摘要
Abstract
The application of BP neural network in prediction accuracy and convergence rate of short-term traffic flow is not very satisfactory ,then join the wavelet transform theory in traditional BP based on neural network ,and applied to the short-term traffic flow prediction ,according to the time-frequency characteristics of wavelet transform ,wavelet neural network is proposed ,and according to a crossroads in Zigong city actual traffic flow data ,the simulation results of Mat-lab2010b show ,the wavelet neural network has greatly improved the prediction accuracy in short-time traffic flow ,and reflect the superiority of the better .关键词
BP神经网络/小波神经网络/短时交通流/Matlab仿真Key words
BP Neural Network/Wavelet Neural Network/Short-Time Traffic Flow/Matlab Simulation分类
信息技术与安全科学引用本文复制引用
程婷,叶晓彤..小波神经网络在短时交通流中的应用[J].软件导刊,2016,15(1):37-39,3.基金项目
四川省智慧旅游基地项目(ZHZ14-04) （ZHZ14-04）
