水文水资源序列是一个具有周期变化、随机变化和递增或递减趋势变化的复杂时间序列。
Hydrologic sequence is a complicated time sequence, which has characteristics such as periodic changes, random changes and increasing or decreasing trend changes.
针对复杂时间序列难以使用单一预测方法进行有效预测的问题，本文提出一种新型多分辨率增量预测模型。
The task of complex time series predicting is hard to be accomplished with only one single predicting model.
脚本可以节省重新输入复杂的较长命令序列所需的时间和精力，并且还可以防止发生错误。
A script saves the time and energy required to retype complex and long sequences of commands, preventing mistakes, too.
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