Non-equidistance GM(1,1)Model and Its Application Based on Simpson Formula with Changeable Steps

摘要：

　　In this paper, based on the non‐equidistance GM(1,1)Model”s mechanism, we obtain a conclusionthat the background value is very important to the accuracy of the gray theoretical modeling. Based onnumerical integration principle, Simpson formula with changeable steps was deduced to optimizing thebackground value of GM(1,1)model. The example shows that the prediction accuracy of GM(1,1)model issignification improved by the using the optimized background formula.

关键词： non-equidistance GM(1,1) model

作者: Zhangkai Wangcheng-yong He Li-juan

作者单位: Dept of Math,Wenhua College,Wuhan,Hubei,430074 College of Mathematics & Computer Science,Hubei University of arts of Science,Xiangyang,Hubei,441053

会议类型: 国内会议

会议名称: 第28届全国灰色系统学术会议

会议地点: 武汉

会议语种:英文

页码: 1-8

在线出版日期: 2016-04-22（万方平台首次上网日期，不代表论文的发表时间）