Application of weighted Markov theory in meat yield prediction

In order to reflect the fluctuation characteristics of meat production, we proposed the grey residual improved model based on the weighted Markov theory. Grey precision index of residual was classified into 4 states by using mean -standard deviation classification method, the forecasting value of residual was modified based on the weighted Markov theory. The weighted Markov improved model was formed based on the meat yield from 1994 to 2011 in Zhengzhou with adding the dimension information in the model. The results showed that compared to the traditional grey prediction, the average relative prediction error was reduced from 21.88% to 1.31%.