Дюк В.А. Осколки знаний / / Экспресс-Электроника. - 2002. - №6. - С. 60-65.

Игнатьев Н.А.Обобщённые оценки и локальные метрики объ­ ектов в интеллектуальном анализе данных. - Ташкент: Универси­ тет, 2014. - 72 с.

Atkinson G., Batterham A.M., Hopkins W.G. Sports performance research under the spotlight / / Int. J. Sports Med. - 2012. - Vol. 33. - P. 949.

Blythe D.A.J., Kiraly F.J. Prediction and Quantification of Individual Athletic Performance of Runners / / PLoS One. - 2016. - Vol. 11, №6. - P. e0157257.

Burden F., Winkler D. Bayesian regularization of neural networks / / Meth. Mol. Biol. - 2008. - Vol. 458. - P. 25-44.

Chatterjee P., Banerjee A. K., Dasb P., Debnath P. A regression equation to predict VO2 max of young football players of Nepal / / Int. J. Appl. Sports Sci. - 2009. - Vol. 21, №2. - P. 113-121.

Drake A., James R. Prediction of race walking performance via laboratory and field tests / / New Stud. Athlet. - 2009. - Vol. 23, №4. - P. 35-41.

Maszczyk A., Roczniok R., Waskiewicz Z. et al. Application of regression and neural models to predict competitive swimming performance / / Percept. Motor Skills. - 2012. - Vol. 114, №2. - P. 610-626.

Maszczyk A., Zaj^c A., Ryguia I. A neural network model approach to athlete selection / / Sports Engineer. - 2011. - Vol. 13, №2. - P. 83-93.

Mengersen K.L., Drovandi C.C., Robert C.P. et al. Bayesian Estimation of Small Effects in Exercise and Sports Science / / PLoS One. 2016; Vol. 11(№4): P. e0147311.

M^zyk E., Unold O. Machine learning approach to model sport training / / Comp. Hum. Behavior. - 2011. - Vol. 27, №5. - P. 1499-1506.

Ofoghi B., Zeleznikow J., MacMahon C., Raab M. Data mining in elite sports: a review and a framework / / Measur. Phys. Educ. Exerc. Sci. - 2013. - Vol. 17, №3. - P. 171-186.

Papic V., Rogulj N., Plestina V. Identification of sport talents using a web-oriented expert system with a fuzzy module / / Exp. Syst. Appl. - 2009. - Vol. 36, №5. - P. 8830-8838.

Pfeiffer M., Hohmann A. Applications of neural networks in training science / / Hum. Mov. Sci. - 2012. - Vol. 31, №2. - P. 344-359.

Przednowek K., Wiktorowicz K. Neural system of sport result optimization of athletes doing race walking / / Met. Inform. Stosowanej. - 2011. - Vol. 29, №4. P. 189-200.

Przednowek K., Wiktorowicz K. Prediction of the result in race walking using regularized regression models / / J. Theoret. Appl. Comp. Sci. - 2013. - Vol. 7, №2. - P. 45-58.

Roczniok R., Maszczyk A., Stanula A. et al. Physiological and physical profiles and on-ice performance approach to predict talent in male youth ice hockey players during draft to hockey team / / Isokin. Exer. Sci. - 2013. - Vol. 21, №2. - P. 121-127.

Schellenberg F., Oberhofer K., Taylor W.R., Lorenzetti S. Review of Modelling Techniques for In Vivo Muscle Force Estimation in the Lower Extremities during Strength Training.Comput Math Methods Med. - 2015. doi: 10.1155/2015/483921http://dx.doi.org/10.1155 /2015/ 483921

Haghighat M., Rastegari H., Nourafza N. et al. A review of data mining techniques for result prediction in sports / / Adv. Comp. Sci. -2013. - Vol. 2, №5. - P. 7-12.

Lewis C.L., Sahrmann S.A., Moran D.W. Effect of position and alteration in synergist muscle force contribution on hip forces when performing hip strengthening exercises / / Clin. Biomech. - 2009. - Vol. 24, №1. - P. 35-42.