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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Acikkar, M. Akay, M.F. Akturk, E. Gulec, M. |
| Copyright Year | 2013 |
| Description | Author affiliation: Bilgisayar Muhendisligi Bolumu, Cukurova Univ., Adana, Turkey (Akay, M.F.; Akturk, E.; Gulec, M.) || Beden Egitimi ve Spor Yuksekokulu, Cukurova Univ., Adana, Turkey (Acikkar, M.) |
| Abstract | The purpose of this study is to develop non-exercise (N-Ex) $VO_{2}max$ prediction models by using Support Vector Regression (SVR) and Multilayer Feed Forward Neural Networks (MFFNN). $VO_{2}max$ values of 100 subjects are measured using a maximal graded exercise test. The variables; gender, age, body mass index (BMI), perceived functional ability (PFA) to walk, jog or run given distances and current physical activity rating (PA-R) are used to build two N-Ex prediction models. Using 10-fold cross validation on the dataset, standard error of estimates (SEE) and multiple correlation coefficients (R) of both models are calculated. The MFFNN-based model yields lower SEE (3.23 $ml·kg^{-1}·min^{-1})$ whereas the SVR-based model yields higher R (0.93). Compared with the results of the other N-Ex prediction models in literature that are developed using Multiple Linear Regression Analysis, the reported values of SEE and R in this study are considerably more accurate. |
| Sponsorship | IEEE Turkey Sect. SP Chapter |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 370395 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467355629 |
| e-ISBN | 9781467355636 |
| e-ISBN | 9781467355612 |
| DOI | 10.1109/SIU.2013.6531534 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-04-24 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Support vector machines Solid modeling cardiorespiratory fitness multilayer feed forward neural networks Neural networks Predictive models Educational institutions Support vector regression VO2max Mathematical model Testing |
| Content Type | Text |
| Resource Type | Article |
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