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     Research Journal of Applied Sciences, Engineering and Technology


Study on College Physical Education Management Information System Based on Support Vector Regression

1Haibo Yan and 2Tingting Wang
1Physical Education College, Sichuan Normal University, Chengdu, Sichuan, China
2Physical Education College, Southwest University for Nationalities, Chengdu, Sichuan, China
Research Journal of Applied Sciences, Engineering and Technology  2013  22:4254-4258
http://dx.doi.org/10.19026/rjaset.6.3541  |  © The Author(s) 2013
Received: February 16, 2013  |  Accepted: March 08, 2013  |  Published: December 05, 2013

Abstract

In order to effectively alleviate the great pressure of sports function development and social service needs, changing the structure of a single, working form the old educational pattern, this study is based on the current situation of college sports management, introduced the support vector construction of information of college sports management system, learning theory and the information model of college sports management value through the analysis of fuzzy evaluation method, satisfactory results have been obtained. College sports management model based on support vector regression conforms to the trend of information management, to promote the standardization of sports teaching management, to promote the college physical education teaching and research has practical significance.

Keywords:

College sports management, information, support vector regression,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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