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Hybrid Gray Model Based on Fractional order Gray Model and Verhulst model

Yitong LiuDingyu XueFeng PanXue Hu

College of Information Science and Engineering, Science, Northeastern University

摘要:Gray system is used to process the object of which information is partly known or incomplete.The GM(11)model is one of the most widely used models.However,it has been shown that GM(1,1)model is more accurate for the exponential data series than data series of saturation.In order to expand the application of gray model,a combined prediction model based on fractional-order gray model and Verhulst model is proposed in this paper.The final predictive result is obtained by fractional-order GM(1,1)model and verhulst model by weighting coefficients.Through examples of Chinese energy consumption,the combined model get better result in prediction than the other two models separately.
会议名称:

第31届中国控制与决策会议

会议时间:

2019-06-03

会议地点:

中国江西南昌

  • 专辑:

    基础科学

  • 专题:

    非线性科学与系统科学

  • 分类号:

    N941.5

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