By Topic

Gray modeling and tendency studying of Track and Field achievements of Olympics based on grey prediction theory

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Chang-mei Huang ; Institute of Physical Education, Hunan University of Science and Technology, Xiang tan, China ; Wei-hua Shen ; Xiao-cong Xiao

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.

Published in:

Proceedings of 2011 IEEE International Conference on Grey Systems and Intelligent Services

Date of Conference:

15-18 Sept. 2011