会议专题

Improvement of Residual Error in Grey GM(1,1) Model

When building model base on residual sequence, nonnegative process on residual sequence should be considered if both positive and negative signs appear simultaneously.In this paper improvement of the conventional method of non-negative process is presented which can not only reduce the deviation of class ratio but also remain reductive error of both simulative residual sequence and simulative original sequence unchanged or be reduced.Finally, a numerical example demonstrates that the proposed model can achieve high precision simulation and forecast effect.

residual error GM (1,1) reductive error

WAN Qin WEI Yong

College of Mathematics and Information China West Normal University,Nan Chong,Sichuan,China

国际会议

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)

南京

英文

257-261

2011-09-15(万方平台首次上网日期,不代表论文的发表时间)