Proceedings of the 2nd International Conference on Management Science and Industrial Engineering

Mathematical Modeling of Multiple Intelligence Theory Based on Information Entropy Theory

Authors
Xudong Yang
Corresponding Author
Xudong Yang
Available Online November 2013.
DOI
10.2991/msie-13.2013.9How to use a DOI?
Keywords
optimization theory, advantages integration, mathematical modeling, potential excitation, characteristic function
Abstract

Table tennis is a popular sport in the world, but also is the Chinese country ball, the integration of pluralistic intelligence theory and table tennis teaching is need of physical education reform and development under the modernization education background. Based on the multiple intelligence theory, modern physical teaching is the important significance, to carry out deepening analysis of the integrating advantages of multiple intelligences theory and table tennis teaching, the use of mathematical modeling constructs table tennis teaching methods under the optimization multiple intelligences theory, to provide theoretical basis and practice new path for the modern table tennis teaching.

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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Volume Title
Proceedings of the 2nd International Conference on Management Science and Industrial Engineering
Series
Advances in Intelligent Systems Research
Publication Date
November 2013
ISBN
10.2991/msie-13.2013.9
ISSN
1951-6851
DOI
10.2991/msie-13.2013.9How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Xudong Yang
PY  - 2013/11
DA  - 2013/11
TI  - Mathematical Modeling of Multiple Intelligence Theory Based on Information Entropy Theory
BT  - Proceedings of the 2nd International Conference on Management Science and Industrial Engineering
PB  - Atlantis Press
SP  - 39
EP  - 43
SN  - 1951-6851
UR  - https://doi.org/10.2991/msie-13.2013.9
DO  - 10.2991/msie-13.2013.9
ID  - Yang2013/11
ER  -