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

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
978-94-6252-318-0
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

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  -