摘要
提出了基于小波神经网络的短时客流预测方法。对具有动态性,受多种因素影响的城轨的客流量进行短时的预测。通过建立小波神经网络对于城轨进行每隔15 min客流量预测。示例结果表明,所建立的小波神经网络的预测模型比其他的典型的预测模型预测精度高,误差小。
The method based on wavelet neural network for short-term passenger flow forecasting, for a dynamic, affected by many factors of the urban rail passenger forecasting of short-term. Through the wavelet neural network for urban rail passenger flow forecasting every 15 minutes ,the demonstration results show that the forecasting model of the wavelet neural network can evidently decrease prediction error and improve forecasting veracity compared with other typical neural network.
出处
《科学技术与工程》
2011年第21期5099-5103,5110,共6页
Science Technology and Engineering
基金
国家自然科学基金(70871007)
北方交通大学国重项目(RCS2008ZT001
RCS2008ZZ001及RCS2010ZZ001)等资助
关键词
短时客流量
小波变换
小波神经网络
短时预测
short-term passenger flow continuous wavelet transform wavelet neural network shortterm forecasting
