灰色BP网络预测方法在公交客流预测中的应用

The Application of Gray-BP Networks Method in the Passenger Volume Forecast

本文将BP网络模型与灰色系统预测方法相结合,建立了公交客流量预测模型。该模型有自组织 和自学习的功能,可以根据每次学习误差的不同,不断调整学习速率,加速收敛过程,充分排除数据样本 的随机性影响。与传统的公交客流量预测方法相比,本模型预测结果具有更高的精度。

This article establish a forecast model of passenger volume in the public transportation by combine with gray system estimate and the BP networks model. The network model can organize and study itself, according to different study error, continuously adjust the study rate, and accelerate refrain process, expel influence of the data sample. With traditional forecast method compare, the accuracy of this model forecast result is higher.