基于分数阶缓冲算子的时变参数离散灰色模型

Time-varying Parameter Discrete Grey Model of Basic Fractional Order Buffering Operator

本文基于传统缓冲算子不能实现作用强度的微调的原因,通过引入分数阶经典弱化缓冲算子,建立线性时变参数离散灰色模型,最后比较了不同缓冲算子间对模型预测精度的影响。结果显示,分数阶经典弱化缓冲算子可以实现强度的微调,提高模型预测的精度。

In this paper,based on the reason that the traditional buffer operator can not achieve the fine tuning of the effect strength,a linear time-varying parameter discrete grey model is established by introducing the fractional classical weakening buffer operator.Finally,the influence of different buffer operators on the prediction accuracy of the model is compared.The results show that the fractional classical weakened buffering operator can achieve fine tuning of the intensity and improve the accuracy of model prediction.