Earticle

초록

영어

Aerobics has been broadly adopted in colleges and universities in our country. For aerobics can be better able to carry out, the performance prediction is very important. Aiming at the problems that the predictive model is often mismatching and difficult to solve the nonlinear optimization function of nonlinear system model of predictive control, an online support vector machine (OSVM) modeling is proposed. This proposed method builds a nonlinear model for objects using OSVM. Furthermore, we apply this method to the performance prediction of the aerobics. The results show that the online-SVM applying to the aerobics performance prediction is feasible and effective.

목차

Abstract
 1. Introduction
 2. The SVR Model
 3. The Types and Selection of Kernel Function
 4. The Online SVM Algorithm
 5. Numerical Analysis
  5.1. The Choice of the Indexes
  5.2. The Choice the Training Samples
  5.3. Indexes Fitting
  5.4. Performance Prediction
 6. Conclusion
 References

키워드

저자

• Shuhe Shao [ Department of Physical Education, Henan Institute of Science and Technology Xinxiang, 453003, China P. R. ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605