DocumentCode :
1725228
Title :
Gray modeling and tendency studying of Track and Field achievements of Olympics based on grey prediction theory
Author :
Huang Chang-mei ; Shen Wei-hua ; Xiao Xiao-cong
Author_Institution :
Inst. of Phys. Educ., Hunan Univ. of Sci. & Technol., Xiang tan, China
fYear :
2011
Firstpage :
419
Lastpage :
425
Abstract :
According to at the top three Olympic track and field sports performance, a GM (1,1) gray prediction model group is established combining with gray modeling methods, whose residual model test results shows that the forecasting model group has a high-precision. Additionally, this paper deeply analyzes the top three achievements´ trend of the 26th to the 29th Olympic Games Track and Field. Finally, the 30th London Olympic track and field results are predicted to serve the departments related to the preparing work for the next Olympic Games and to provide the theoretical basis and reference for decision-making.
Keywords :
decision making; forecasting theory; grey systems; sport; Olympics; decision making; forecasting model; gray modeling; gray prediction model; grey prediction theory; track and field achievements; track and field sports performance; Decision making; Legged locomotion; Materials; Prediction theory; Relays; Olympics; grey prediction; tendency analysis; top three achievements; track and field events;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-61284-490-9
Type :
conf
DOI :
10.1109/GSIS.2011.6044009
Filename :
6044009
Link To Document :
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