神经网络模型预测运输货运量

Study on Transportation Demand Forecast Using Neural Network Model

从交通运输需求的角度描绘了交通运输需求与国民经济的一些主要经济变量的相关关系，基于这些相关关系建立了交通运输需求预测的神经网络模型，利用误差反向传播算法实现了由这些因素到运输系统需求的复杂映射。

Based on the basic relationships between transportation demand and some main variables of the national economy, this paper constructs a transportation demand forecasting neural network model. With the algorithm of error back propagation, the complex mapping from these factors to the transportation system demand is completed, and verified by a practical example for predicting the freight traffic volume.