Research on prediction of regional grain logistics demand based on the grey-regression model

This paper utilizes grey cluster based on relation analysis to confirm the typical indexes which impact the grain logistics demand, and then establishes the grey-multiple regression combination prediction model of regional grain logistics demand and thus calculates the demand by using the GM(1,1) model based on cotx function transformation to predict the indexes, and compares it with the single sequence prediction model as well. The result indicates that grey-multiple regression combination prediction model is better.