The Study of Crew Physical and Psychological Evaluation Model and Sports Intervention Method

  • Guo-Qing Li
  • Bin Zhang

Abstract

It is very important to research the physical and psychology of crew for ship safe. The artificial neural network theory is applied to the crew health evaluation, according to the crew health evaluation index. The corresponding BP neural network for health state evaluation established. Training samples of neural network obtained using the expert experience and statistical data. With the aid of computer and MATLAB software, the evaluation results can be conveniently achieved. BP neural network model that was trained can be operated "off-line", evaluate the crew physical and psychological health status accurately and effectively. And the guidance and recommendations of sports items intervention measures were given by crew health expert system. All these research will help the crew to improve the level of physical and psychology health.

References

L. C. Jiao, Neural network calculation, Xi’an Xidian University press, 1996. (In Chinese)

C. R. Yuan, Artificial neural networks and its application, BeiJing Tsinghua University press, 1999. (In Chinese)

C. D. Xing, J. M. Yang, Q. S. Ren, Theory of artificial intelligent and its application, Shang Hai Dong Hua University press, 2005. (In Chinese)

M. A. Gonzalez, “An integrated logistics support system for training crew medical officers in advanced cardiac life support,” Ph.D. Dissertation, Dept. Industrial Engineering, Cullen College of Engineering, Houston Univ., Houston, TX, 1995.

G. Q. Li, “Discuss effect of physical exercise on the positive role of sub health,” Journal of Yichun University, vol. 32, no. 12, 2010.

M. Q. Chen, F. Y. Qiao, “Research on sports effect of occupation disease prevention and treatment for crew,” Science and Technology Innovation Herald, no. 35, 2011. (In Chinese)

Published
2015-11-01
How to Cite
Li, G.-Q., & Zhang, B. (2015). The Study of Crew Physical and Psychological Evaluation Model and Sports Intervention Method. Proceedings of Engineering and Technology Innovation, 1, 1-4. Retrieved from http://ojs.imeti.org/index.php/PETI/article/view/262
Section
Articles