摘要
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,建立二次时变参数离散灰色模型,最后举例进行实证分析,比较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 second-order time-varying discrete grey predictive 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.
作者
金梦迪
刘基伟
张辉
JIN Meng-di;LIU Ji-weiv;ZHANG Hui(School of Science,Communication University of China,Beijing 100024)
出处
《中国传媒大学学报(自然科学版)》
2018年第6期45-49,35,共6页
Journal of Communication University of China:Science and Technology
关键词
灰色系统
离散模型
分数阶缓冲算子
二次时变参数
gray system
discrete model
fractional buffering operator
a second-order time-varying discrete grey predictive model