本文论证了非负光滑离散函数累加生成后具有近似的指数规律，即灰指数律。
It is shown that the grey exponential law can be obtained by means of accumulative generation for non-negative smooth discrete function.
将GM(1,1)模型与随机数据的累加生成相结合，对未来异常降水发生时刻作预测。
It is shown that by combining GM (1, 1) with the addition generation of random Numbers, can be employed to predicts the time of forthcoming abnormal seasonal precipitation.
方法：根据反向累加生成GOM(1,1)的建模原理，给出快速静脉推注药物动力学的灰色模型。
Methods: Based on the theory of accumulated generating opposite-direction GOM (1, 1) of the set-up model, the grey pharmacokinetics model of fleetness intravenous infusion was made.
在传统累加的GM(1,1)模型基础上，提出了一种新的基于混广义累加生成的GM(1,1)预测模型。
This paper presents a new GM (1, 1) forecasting model with Mixed Generalized Accumulated Generating Operation (MGAGO) based on the traditional GM (1, 1) model.
在传统累加的GM(1,1)模型基础上，提出了一种新的基于混广义累加生成的GM(1,1)预测模型。
This paper presents a new GM (1, 1) forecasting model with Mixed Generalized Accumulated Generating Operation (MGAGO) based on the traditional GM (1, 1) model.
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