Research on Information Feedback Regulation System of Basketball Training Based on ANT Dynamic Theory

DOI

10.2991/msie-13.2013.66How to use a DOI?

Keywords

information control system, feedback regulation, random variable, generalized linear system, origin drawing

Abstract

The basketball training is a long-term process of repeatedly. If you can master the feedback information the training process in time and make adjustment of the sports and sports exercise intensity, it can greatly improve the basketball training effect and reduce training investment and increase the economic benefit of sports training. This paper establishes ANT dynamic metabolic model according to the body metabolism of ANT theory in the basketball training process and establishes training control information system model according to feedback control principle of the generalized linear system. This paper monitors the ANT dynamic metabolic process of project jogging, touch line, layup and physical confrontation in the process of basketball training. This paper uses professional drawing software-origin to process data chart obtains the parameters optimization of the same sport after information control system regulation which realizes the automation control of information in basketball movement process. Finally, this paper summarizes the drawback of the system which provides the theoretical basis for the development of basketball training.

Copyright

© 2013, 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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TY  - CONF
AU  - Yun Wang
AU  - Guimin Dai
PY  - 2013/11
DA  - 2013/11
TI  - Research on Information Feedback Regulation System of Basketball Training Based on ANT Dynamic Theory
BT  - Proceedings of the 2nd International Conference on Management Science and Industrial Engineering
PB  - Atlantis Press
SP  - 311
EP  - 314
SN  - 1951-6851
UR  - https://doi.org/10.2991/msie-13.2013.66
DO  - 10.2991/msie-13.2013.66
ID  - Wang2013/11
ER  -