基于灰色—马尔柯夫模型的中国农业机械总动力预测

Forecasting Total Power Requirement of Agriculture Machine in China by Using Grey-Markov Forecasting Model

灰色一马尔柯夫预测方法能够较好地解决既有趋势性又有较大波动性的数据序列的预测问题,且具有计算简便、精度高的特点。为此,利用该方法对我国农机总动力需求进行了预测分析,为农业机械化发展提供了依据。

This paper presents a grey-Markov forecasting model which has the merits of both simplicity of application and high forecasting precision. This paper forecasts and analyzes the total power requirement Of agriculture machine in China by using grey-Markov forecasting model. It provides the scientific basis for planned development of agriculture machinery in China.