In this paper,we mainly discuss the influence of grey derivative and white background value to the GM(1,1) model’s precision. Investigation shows that the GM(1,1) model is very precisive when the original series change slowly and evolution parameter is tiny.
在分析GM(1,1)建模中灰导数及其白化背景值对模型精度与适应性的影响的基础上,从灰导数、灰导数的白化背景值的构造证明了原始时间序列数据变化越平缓,发展系数的绝对值越小,GM(1,1)模型的拟合与预测精度越高,模型的适应性越强,同时提出了原始序列数据的一些处理方法。
参考来源 - 灰色GM(1·2,447,543篇论文数据，部分数据来源于NoteExpress
Increasing a speed parameter for each water node, we adopt the idea of neighboring regions spread to derivate the evolution formula of water wave with disturbance.
采用邻域传播的思想，为每个水结点增加一个速度参数，推导出水面受到扰动后，水波的演变公式。
In physics, the physical parameter evolution along with the time is often controlled by the non-linear partial differential equation.
在物理学中，物理参量随时间的演化往往是由非线性的偏微分方程支配的。
Based on the assumption of water resources system is a dissipative structure, the water is regarded as a sequential parameter to describe the sequence and evolution direction of system.
水资源系统是一耗散结构，本文以水资源量作为序参量，来描述水资源系统的有序性和演化方向。
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