Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

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Prediction of Olympic Medals Based on Gray Theory

Authors
Qingxiang Hu
Corresponding Author
Qingxiang Hu
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.54How to use a DOI?
Keywords
gray theory, Olympic medal, predict
Abstract

In today's data age, it is a trend that countries rely on data analysis to support resources allocation of the Olympic Games to obtain the maximum input-output ratio. This paper analyzes the number of medals won by China in the last 8 Olympic Games, and uses the gray theory to predict the total number of medals that China will receive in the 2020 Tokyo Olympic Games.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/icmmct-17.2017.54
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.54How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Qingxiang Hu
PY  - 2017/04
DA  - 2017/04
TI  - Prediction of Olympic Medals Based on Gray Theory
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 268
EP  - 271
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.54
DO  - 10.2991/icmmct-17.2017.54
ID  - Hu2017/04
ER  -