A LONG-TERM FORECASTING MODEL BASED ON GREY FEED-BACK MODIFICATION

摘要：

The traditional grey model has been widely used in various forecasting systems. However, it is reported that the accuracy of the model is not satisfactory and it is not suitable for long-term forecasting problems. On the basis of this traditional model, this paper introduces a new grey feed-back modification model, LGM(1.1), for long-term forecasting. Using this model, the trial forecasting precision of the grain production in Hebei Province has been improved.

关键词： LGM(1,1) Grey feed-back modification Long-term forecasting model

作者: HE-RUI CUI WEI LI BO ZHANG

作者单位: Department of Economics and Management, North China Electric Power University, Baoding 071003, China College of Basic Sciences, Agricultural University of Hebei, Baoding 071001, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 413-416

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）