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Time-Delayed Polynomial Grey System Model with the Fractional Order Accumulation

机译:分数阶累积的时滞多项式灰色系统模型

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摘要

In this work, a novel time-delayed polynomial grey prediction model with the fractional order accumulation is put forward, which is abbreviated as TDPFOGM(1,1), based on the new grey system theory to predict the small sample in comparison with the existing forecasting models. The new model takes into account the nonhomogeneous term and the priority of new information can be better reflected in the in-sample model. The data in this paper all come from the existing literatures. The results demonstrate that the TDPFOGM(1,1) model outperforms the TDPGM(1,1) and FOGM(1,1) model.
机译:在这项工作中,基于新的灰色系统理论,与现有模型相比,提出了一种具有分数阶累加的新型时延多项式灰色预测模型,简称为TDPFOGM(1,1)。预测模型。新模型考虑了非均质项,新信息的优先级可以更好地反映在样本内模型中。本文中的数据均来自现有文献。结果表明,TDPFOGM(1,1)模型优于TDPGM(1,1)和FOGM(1,1)模型。

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