在乎稳化的基础上进一步拟合误差序列，经平稳化处理后的瞄准误差得到了明显的修正。
Quasi-error data were made and aiming errors were visible modified base on stationary random process.
灰色模型实时误差预报修正的动态测量误差序列同样为随机过程，也具有上述基本特性。
The series of dynamic measuring errors of the predicting correction of real-time errors of gray model is also a random process and has these four basic characteristics.
对指数平滑预报器一步预报误差序列进行实时建模和实时修正的基础上，实现对未来值的自校正预报。
The self-tuning prediction of the future value can be achieved on the basis of real time model-building and modification to the one-step predicting errors sequence in the exponential smooth predictor.
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