本文运用灰色马尔可夫模型对路面破损状况进行预测。

This paper took the prediction of pavement condition index by the grey Markov model.

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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。

The example shows that the grey Markov prediction SCGM(1,1) model can have high prediction precision for the random and fluctuating data series.

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通过运用灰色预测方法和马尔可夫概率矩阵预测对装备保障社会化的人力资源需求量建立了研究模型。

The model of Equipment Support Socialization Human Resource Forecast by grey forecasting method and Markov probability matrix forecasting are set up.

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