Author(s)

Zhengyi Yang

Corresponding Author

Zhengyi Yang

Abstract

As an important part of rural economy, rural logistics plays an important role in people's daily life. In order to reflect the changing rule of rural logistics demand more accurately and comprehensively, it is necessary to introduce a scientific prediction model, that is, a gray neural network model. This paper analyzes the demand forecast of rural logistics based on gray neural network model starting from the basic demand of rural logistics. Then it discusses the principle of rural logistics demand forecast and the rural logistics demand forecast of the combined model, in addition, the demand of rural logistics based on gray neural network model is also simulated. Finally, the significance of rural logistics demand forecast based on gray neural network model is discussed.

Keywords

Gray neural network model, Rural logistics, Demand forecast.