Rural Logistics Demand Forecast Based on Gray Neural Network Model

摘要

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 and starts from the status quo of 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, and then 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.