Proceedings of the 2018 3rd International Workshop on Materials Engineering and Computer Sciences (IWMECS 2018)

Evaluation Model of College Students Aerobics Athlete Selection Based on Fuzzy Neural Network

Authors
Cong Ding
Corresponding Author
Cong Ding
Available Online April 2018.
DOI
10.2991/iwmecs-18.2018.46How to use a DOI?
Keywords
College Student; Aerobics; Selection; Fuzzy Neural Network
Abstract

In order to improve the talent identification level of college students aerobic athletes. With the help of Fuzzy Transformation Theory, this paper establishes the model of selecting college aerobics athletes by neural networks. From determining the indexes of the selected team members, solving the comprehensive evaluation value to selecting qualified athletes, this paper makes a systematic study and designs the athlete based on BP neural network selecting decision support system logic model, completing a preliminary work for the physical model of the system.

Copyright
© 2018, 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 2018 3rd International Workshop on Materials Engineering and Computer Sciences (IWMECS 2018)
Series
Advances in Computer Science Research
Publication Date
April 2018
ISBN
10.2991/iwmecs-18.2018.46
ISSN
2352-538X
DOI
10.2991/iwmecs-18.2018.46How to use a DOI?
Copyright
© 2018, 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  - Cong Ding
PY  - 2018/04
DA  - 2018/04
TI  - Evaluation Model of College Students Aerobics Athlete Selection Based on Fuzzy Neural Network
BT  - Proceedings of the 2018 3rd International Workshop on Materials Engineering and Computer Sciences (IWMECS 2018)
PB  - Atlantis Press
SP  - 212
EP  - 216
SN  - 2352-538X
UR  - https://doi.org/10.2991/iwmecs-18.2018.46
DO  - 10.2991/iwmecs-18.2018.46
ID  - Ding2018/04
ER  -