원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.7 No.4
2014.07
pp.43-54
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보