灰色系统理论相关源代码（Matlab语言）目前使用最广泛的灰色预测模型就是关于数列预测的一个变量、一阶微分的GM(1,1)模型。它是基于随机的原始时间序列，经按时间累加后所形成的新的时间序列呈现的规律可用一阶线性微分方程的解来逼近。经证明，经一阶线性微分方程的解逼近所揭示的原始时间序列呈指数变化规律。因此，当原始时间序列隐含着指数变化规律时，灰色模型GM(1,1)的预测是非常成功的。-Gray system theory, source code (Matlab language) is the most widely used gray forecasting model is a variable sequence prediction, the first derivative of GM (1,1) model. It is based on the original time series of random law presented by the new time series formed by the accumulated time first-order linear differential equations to approximate. Proved that the original time series, the first-order linear differential equation approximation revealed an exponential variation. Therefore, when the original time series implicit index variation, gray model GM (1,1) prediction is very successful.