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。

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Experimental data showed that such a technique could reduce the adverse effect caused by the random fluctuating of base count, and therefore improve the procession of potassium determination.

用该方法在实验室试验结果表明，可较好地克服本底计数波动的干扰。提高测钾精度。

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