Title :
A Long-term forecasting Model Based on Grey Feed-Back Modification
Author :
Cui, He-Rui ; Li, Wei ; Zhang, Bo
Author_Institution :
Dept. of Econ. & Manage., North China Electr. Power Univ., Baoding
Abstract :
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
Keywords :
agricultural products; agriculture; feedback; forecasting theory; grey systems; Hebei province; LGM(1.1) model; grain production; grey feed-back modification; long-term forecasting model; Agriculture; Cybernetics; Decision making; Economic forecasting; Energy management; Information systems; Machine learning; Power generation economics; Power system economics; Power system modeling; Predictive models; Production; Grey feed-back modification; LGM(1,1); Long-term forecasting; model;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.259105
