The Optimization of Background Value in Non-Equidistant GM (1,1) Power Model

摘要：

The structure method for the background value in grey forecasting model has an important influence on the forecasting precision.This paper defines nonequidistant GM(1,1) power model and makes a series of researches about it.Based on the error analysis of the GM(1,1) power model, the discrete function with non-homogeneous exponential law is used to fit the accumulated sequence, which can propose a structure method of the background value in GM(1,1) power model.The example indicates that the precision of fitting and forecasting of the non-equidistant GM (1,1) power model with optimized background value is significantly improved, which is valuable for both theory and practice.

关键词： non-equidistant GM(1,1) power model background value structure method

作者: YANG Zhao HU Zheng-hua

作者单位: College of Economic and Management NUAA,Nanjing,China

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Grey System and Intelligent Services Joint with the 15th WOSC International Congress on Cybernetics and System(2011 IEEE灰色系统与智能服务国际会议暨系统与控制世界组织第15届年会)

会议地点: 南京

会议语种:英文

页码: 303-306

在线出版日期: 2011-09-15（万方平台首次上网日期，不代表论文的发表时间）