The improved Grey Markov prediction mode is built through uniting the improved grey model(1,1) and the Markov mode.
然后将其与马尔柯夫模型相结合，建立了改进的灰色马尔柯夫模型。
The example shows that the grey Markov prediction SCGM(1,1) model can have high prediction precision for the random and fluctuating data series.
并且以郑州市降雨量的预测作为实例，证明灰色马尔可夫预测模型对于随机波动性较大的数据列的预测具有较高的精度。
It shows that the forecast result of Grey Markov prediction model has better fitting precision and correct dependability. It has certain general employing.
结果表明，灰色马尔柯夫模型预测工作面瓦斯涌出量拟合精度较好，结果正确可靠，有一定的普遍应用性。
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