Proceedings of the 2015 International Conference on Computational Science and Engineering

Conceit for system of Self-rated health measurement and establishment exercise prescription based on Artifical Neural Network and Expert System

Authors
Qiang Li
Corresponding Author
Qiang Li
Available Online July 2015.
DOI
10.2991/iccse-15.2015.48How to use a DOI?
Keywords
Self-rated health measurement, Exercise prescription, Artifical Neural Network, Expert System
Abstract

People pursue higher quality life than previously along with development of society. Quality of life decided level of health. How to estimate oneself health and exercise is one of the heatedly discussed topics. According to the theory of Artifical Neural Network and Expert System, A design conceit for system of Self-rated health measurement and establishment exercise prescription based on Artifical Neural Network and Expert System. In order to serve as reference for everyone of pursuing health .

Copyright
© 2015, 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 2015 International Conference on Computational Science and Engineering
Series
Advances in Computer Science Research
Publication Date
July 2015
ISBN
10.2991/iccse-15.2015.48
ISSN
2352-538X
DOI
10.2991/iccse-15.2015.48How to use a DOI?
Copyright
© 2015, 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  - Qiang Li
PY  - 2015/07
DA  - 2015/07
TI  - Conceit for system of Self-rated health measurement and establishment exercise prescription based on Artifical Neural Network and Expert System
BT  - Proceedings of the 2015 International Conference on Computational Science and Engineering
PB  - Atlantis Press
SP  - 269
EP  - 273
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-15.2015.48
DO  - 10.2991/iccse-15.2015.48
ID  - Li2015/07
ER  -