DocumentCode
3294163
Title
GM(1, 1) model improved by artificial fish-swarm algorithm
Author
Yao, Ru-xian ; Li, Lin
Author_Institution
Dept. of Inf. Eng., Huanghuai Univ., Zhumadian, China
fYear
2011
fDate
15-17 April 2011
Firstpage
435
Lastpage
437
Abstract
Taking the advantages of fast convergence, high ability of global optimization in artificial fish-swarm optimization algorithm, this paper optimizes the background sequence, time sequence error and the combination of them in grey model GM (1, 1). Practical examples for GDP prediction are given and the simulation results indicate that the improved model gives better prediction precision and may have wider applications in electric Information and control engineering.
Keywords
grey systems; optimisation; sequences; GM(1,1) model; artificial fish swarm algorithm; global optimization; grey model; time sequence error; Accuracy; Marine animals; Modeling; Optimization; Prediction algorithms; Predictive models; Timing; artificial fish-Swarm algorithm; background sequence; grey model; time sequence error;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8036-4
Type
conf
DOI
10.1109/ICEICE.2011.5778365
Filename
5778365
Link To Document