Prediction of pork price based on improved GM(1,1) model

Aiming at the price of pork influenced by many factors,and the difficulty to use fixed mathematical model to predict them accurately, an improved GM(1,1) model was presented. This model used improved background value and M accumulating generation operator(AGO) method residual correction, took the changes of pork's price as a gray system,and used dimensions additional methods to predict the development trend of the price. The prediction accuracy was better. Taking the pork price in Jilin Province as an example,using improved GM(1,1) model to forecast the future price of pork had practical significance for improving the producer income and promoting benign development of pork market.