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。
This paper applies the improved grey GM (1, 1) model to the research of the present development trend of an oil field's general water percentage.
本文将改进的灰色GM(1,1)模型用于某油田年综合含水率的近期发展趋势研究。
It is found that it is better to predict the return rate with general regression neural network than with grey prediction and multiple regression model.
再以广义回归神经网络建立预测模型，与灰预测模型、多元回归模型进行预测能力及报酬率的比较分析。
The grey forecast model has the very strong fusion strength and penetrability to the general model, so it can be combined with other models to improve the forecasting precision.
由于灰色预测模型对一般的预测模型具有很强的融合力和渗透力，将灰色模型与其它模型结合进行分析和预测，可以提高预测精度。
The grey forecast model has the very strong fusion strength and penetrability to the general model, so it can be combined with other models to improve the forecasting precision.
由于灰色预测模型对一般的预测模型具有很强的融合力和渗透力，将灰色模型与其它模型结合进行分析和预测，可以提高预测精度。
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