New Approach of Building GM(1,1)Background Value and Its Application
In this paper,a new method of constructing GM(1,1)s background value is put forward based on exponential function.Moreover,the difference between ameliorating GM(1,1)Model and traditional GM(1,1)Model is discussed in the prediction precision and the applicable range. Analysis shows that the prediction precision and the applicable range of the ameliorating GM(1,1)Model has by far better than the traditional GM(1,1).The grey model against Shanghai city industry power consumption is set up by using the methods proposed in this paper.The modeling results show the effectiveness of the proposed approach.
Grey System Theory Grey Model Background Value
Junfeng Li Aiping Yang Wenzhan Dai Junfeng Li
Department of Automatic control Zhejiang Sci-Tech University Zhejiang Finance University,China College of Mechanical Engineering University of Donghua Shanghai,Shanghai City,China
国际会议
2007 IEEE International Conference on Automation and Lofistics
山东济南
英文
2007-08-18(万方平台首次上网日期,不代表论文的发表时间)