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.
文中研究了灰指数律的性质，齐次与非齐次指数律和原点分布、正分布、负分布的指数律，获得了有关的定理为灰色预测建模的优化信息处理，提供了依据与基础。
By defining the distribution of the origin and the positive and negative distribution, theorems are obtained that make it possible to optimize data processing for grey forecasting modelling.
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