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

Research on Achievement of Olympic Games

Authors
Xiaomeng Li
Corresponding Author
Xiaomeng Li
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.312How to use a DOI?
Keywords
Grey Prediction, Olympic Games, Gold medals
Abstract

In order to find factors affecting the achievement of national Olympic Games ,We give an accurate prediction the medals (gold medals and total medals) and final rank of the Olympic Games by constructing a Basic Prediction Model using publicly available data in order to account for the effect of the relation between historical scores and present scores. The data we can use for prediction is seldom thus we propose a Grey Prediction Model as our basic prediction model. In addition, corresponding to the Olympic results of the factors were analyzed one by one.

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-17.2017.312
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.312How 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  - Xiaomeng Li
PY  - 2017/04
DA  - 2017/04
TI  - Research on Achievement of Olympic Games
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1649
EP  - 1653
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.312
DO  - 10.2991/icmmct-17.2017.312
ID  - Li2017/04
ER  -