Application of recurrent neural network in predicting athletes' sports achievement
- 27 September 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in The Journal of Supercomputing
- Vol. 78 (4), 5507-5525
- https://doi.org/10.1007/s11227-021-04082-y
Abstract
No abstract availableKeywords
This publication has 20 references indexed in Scilit:
- Back-propagation neural network-based reconstruction algorithm for diffuse optical tomographyJournal of Biomedical Optics, 2018
- Research on prediction model of geotechnical parameters based on BP neural networkNeural Computing & Applications, 2018
- Effects of inspiratory muscle warm-up on locomotor muscle oxygenation in elite speed skaters during 3000 m time trialsEuropean Journal of Applied Physiology, 2018
- Spatially Piecewise Fuzzy Control Design for Sampled-Data Exponential Stabilization of Semilinear Parabolic PDE SystemsIEEE Transactions on Fuzzy Systems, 2018
- Does Arterial Oxyhemoglobin Saturation Influence the Hemoglobin Mass-VO2Peak Relationship in Endurance Athletes at Moderate Altitude?Medicine & Science in Sports & Exercise, 2017
- Personalized Adaptive Learner Model in E-Learning System Using FCM and Fuzzy Inference SystemInternational Journal of Fuzzy Systems, 2017
- Multi-step ahead electricity price forecasting using a hybrid model based on two-layer decomposition technique and BP neural network optimized by firefly algorithmApplied Energy, 2017
- Effects of Sports Nutritional Beverages Containing Glycerinum on the Physical Functions of Bicyclists after Physical ActivitiesActa Universitatis Cibiniensis. Series E: Food Technology, 2016
- Prediction Model of Sports Performance Based on Grey BP Neural NetworkInternational Journal of u- and e- Service, Science and Technology, 2016
- Ground reaction forces during steeplechase hurdling and waterjumpsSports Biomechanics, 2016