The result shows that much better prediction precision has been gained compared with GM(1,1). It gives a new way to fitting, predicting and decision-marking of environmental system.
结果表明GPPM（1）模型的预测精度优于常规灰色GM（1，1）模型，它为环境系统的拟合、预测和决策提供了新的方法途径。
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。
The model is applied to the prediction of the mean annual amount of sediment in a river valley. The results show that the fitting precision and prediction precision are 90% and 75%, respectively.
该模型用于某流域年均含沙量预测的拟合率达90％以上，预留检验预报的准确率为75％。
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