基于GM(1,1)模型的客运交通量预测系统实现

The passenger traffic volume prediction system of GM(1, 1) model algorithm

在对灰色系统理论研究的基础上,设计实现了一个基于GM(1,1)模型算法的预测系统,系统设计有友好的人机交互界面,包含数据库输入,数据预测、残差分析和拟合曲线五个子模块构成。通过对客运交通量实例数据仿真,证明了此预测系统精度较高,且该预测系统具有良好的通用性,可作为其他领域有关灰色预测设计的参考。

The passenger traffic volume forecasting system was designed which based on the GM（1,1） algorithm. The System had friendly man-machine interface, and contained five sub modules ：the database input, data prediction, the residual analysis and curve fitting. Through the simulation of passenger traffic volume instance data, it proved that the prediction system was high precision. Moreover, the prediction system had good commonality, which could be taken as the reference to other areas of grey forecasting design.