基于神经网络的城市轨道交通短期客流预测研究

该文结合神经网络来研究城市轨道交通中短期客流预测问题。设计出了基于自回归神经网络的轨道交通客流预测模型、模型描述及其模型训练算法。通过matlab仿真实验来验证预测模型的性能，优于将最小二乘支持向量机与离散一维Daub4小波分析结合起来预测效果。

The Research of Short Term Passenger Flow Prediction Based on Neural Network in City Rail Transit

This article is to study the short term passenger flow prediction based on neural network in city rail transit.And the pas-senger flow prediction model based on recurrent nerual network in city rail transit,mathematical descripition and training algo-rithm of the model is designed.and the author testifies the performance of prediction mode according to Matlab simulation exper-iment,result show that the passenger flow prediction method based on recurrent nerual network has higher accuracy than wave-let analysis based SVM in short term passenger flow prediction for city rail transit.