基于灰色-马尔柯夫链预测模型的耕地需求量预测研究

Prediction of Gross Arable Land Based on Grey-Markov Model

  • 摘要: 讨论了耕地总量预测的方法,在分析现有耕地预测方法的基础上,针对灰色GM(1,1)预测与马尔柯夫链预测的优点和不足,提出了基于灰色马尔柯夫链的耕地需求量预测模型,并以湖北省耕地需求量为例,对该模型进行了实例验证和应用。

     

    Abstract: This paper discusses the prediction methods of gross arable land based on grey-markov model. The advantages and disadvantages of grey GM(1,1) prediction and Markov prediction model have been analyzed. A new method, which is called grey Markov model, is presented based on analyzing current methods for arable land prediction. This prediction model is identified by taking prediction of arable land in Hubei province.

     

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