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The discrete grey prediction model based on optimized initial value

机译:基于优化初始值的离散灰色预测模型

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When GM (1, 1) model is applied to simulate a pure exponential sequence, the errors usually occur. There are many kinds of limitation to the development coefficient and the primary sequence. The characteristics of the discrete GM (1, 1) model are analogous to the GM (1, 1) model. It can be regarded as the precise form of the formal model. The paper studied the growth rate of the simulation values under different initial values of discrete GM (1, 1) model. Applying optimization technique to solve the initial value, it proved that the modified discrete GM(1,1) model can perfectly simulate the exponential sequence.
机译:当应用GM(1,1)模型来模拟纯指数序列时,通常会发生错误。发育系数和初级序列有多种限制。离散GM(1,1)模型的特征类似于GM(1,1)模型。它可以被视为形式模型的精确形式。研究了离散GM(1,1)模型在不同初始值下模拟值的增长率。应用优化技术求解初始值,证明了改进的离散GM(1,1)模型可以完美地模拟指数序列。

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