Improvement of GM (1, 1) Model

摘要：

Base on analysis of GM(1,1), two simplified computational methods are given. Their computational efforts are less than that of the traditional GM(1,1) model , so they can get quick modeling. Moreover their precisions are as high as the GM(1,1) model. The conclusion, which the initiative number has no effect on the prediction, is got, and an improved GM (1, 1) model I is given. Using golden section method, an improved GM (1, 1) model II is given.

作者: Gao Shang

作者单位: School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China

会议类型: 国际会议

会议名称: 2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)

会议地点: 南京

会议语种:英文

在线出版日期: 2007-11-18（万方平台首次上网日期，不代表论文的发表时间）