College of Physical Education and Health, Yulin Normal University, Yulin 537000, China
Science and technology is an important support to promote the development of sports, and the dependence of sports training on science and technology is becoming more and more obvious. The purpose of the development and application of the sports training decision support system is to integrate the scientific the training theory and advanced training methods are applied to the management of physical education and sports training for college students, effectively exerting the auxiliary role of science and technology in sports training. This system enriches the knowledge base by generating new knowledge rules through data mining technology, selecting the corresponding model based on user input and combining with the rules in the knowledge base to step by step to produce a set of reasonable sports training programs.
sports training, science and technology, system, development, application
Guining Chen. Development and Application of Sports Training Decision Support System. Frontiers in Sport Research (2021) Vol. 3, Issue 3: 64-68. https://doi.org/10.25236/FSR.2021.030312.
 Joseph S R , Hlomani H , Letsholo K . Data Mining Algorithms: An Overview[J]. Neuroscience, 2016, 12(3):719-43.
 Lu H, Setiono R, Liu H. Effective data mining using neural networks[J]. Knowledge & Data Engineering IEEE Transactions on, 2016, 8(6):957-961.
 Zhang D. Research on college student sports training decision support system based on association rule algorithm[J]. Revista de la Facultad de Ingenieria, 2017, 32(15):723-726.
 Ahmadi A , Mitchell E , Richter C , et al. Toward Automatic Activity Classification and Movement Assessment During a Sports Training Session[J]. IEEE Internet of Things Journal, 2017, 2(1):23-32.
 Jelii M , Uljevi O , Zeni N . Pulmonary Function in Prepubescent Boys: The Influence of Passive Smoking and Sports Training[J]. Montenegrin Journal of Sports Science & Medicine, 2017, 6(1):65-72.
 Tang V , Siu P K Y , Choy K L , et al. An adaptive clinical decision support system for serving the elderly with chronic diseases in healthcare industry[J]. Expert Systems, 2019, 36(2):1-20.