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The Optimization DGM(2,1) Model and Its Application

机译:DGM(2,1)优化模型及其应用

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摘要

The existing DGM(2,1) model simulation accuracy is not high, the result difficult to be applied directly to the actual calculation, for this, Many scholars have made a lot of optimization work on the second-order gray model. This paper according to Lagrange's mean value theorem, through optimizing the existing DGM(2,1) model, made the whitening differential equation and the original equation of DGM(2,1) mode more matches, at the same time got the new prediction equation. After testing, the method can improve the simulation accuracy of models, which has some theoretical and practical value.
机译:现有的DGM(2,1)模型仿真精度不高,其结果难以直接应用于实际计算,为此,许多学者对二阶灰色模型进行了大量的优化工作。本文根据拉格朗日的中值定理,通过优化现有的DGM(2,1)模型,使白化微分方程与DGM(2,1)模式的原始方程更加匹配,同时得到了新的预测方程。经过测试,该方法可以提高模型的仿真精度,具有一定的理论和实用价值。

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