文章摘要
Application of weighted Markov theory in meat yield prediction
  
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Author NameAffiliation
乔松珊,张建军 1.中原工学院信息商务学院河南郑州4500072.河南农业大学信息与管理科学学院河南郑州450002 
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Abstract:
      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%.
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