Neural network modeling of diagonal stride technique of highly qualified skiers with hearing impairments

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dc.contributor.author ImasYevgeniy
dc.contributor.author Khmelnitska Irene
dc.contributor.author Khurtyk Dmytro
dc.contributor.author Korobeynikov Georgiy
dc.contributor.author Spivak Maryna
dc.contributor.author Kovtun Viktoriya
dc.date.accessioned 2019-11-27T08:17:07Z
dc.date.available 2019-11-27T08:17:07Z
dc.date.issued 2018-07
dc.identifier.issn 2247 - 806X
dc.identifier.udk http://reposit.uni-sport.edu.ua/handle/787878787/2031
dc.description Neural network modeling of diagonal stride technique of highly qualified skiers with hearing impairments / Yevgeniy Imas, Irene Khmelnitska, Dmytro Khurtyk, Georgiy Korobeynikov, Maryna Spivak, Viktoriya Kovtun // Journal of Physical Education and Sport (JPES). - 2018. - № 2(181). - P. 1217-1222. uk_UA
dc.description.abstract Abstract: Correct rational sport technique is based on models that are developed according to the kinematic characteristics of motion. According to the literature review, the questions addressed by the model are essential for studying the improvement of sport technique but the lack of those models for deaf athletes is a problem particularly in crosscountry skiing. So the purpose of this research is to develop a model of the kinematic structure of classical diagonal stride technique of highly qualified cross-country skiers with hearing impairments on the basis of computer neural networks. Participants: 9 high skilled skiers with hearing impairments of the Ukrainian National Deaflympic team on skiing. Results: The modeling kinematic indicators of the diagonal stride technique of highly qualified skiers with hearing impairments have been identified. Seven neural networks of multilayer perceptron type have been developed as a simulation of the velocity of the skier’s general center of mass in the movement cycle. On a basis of the best model, the errors in the diagonal stride technique of highly qualified skiers with hearing impairments were corrected. Conclusions: the neural network modeling in the process of technical performance improving of highly skilled skiers with hearing impairments is proved. Neural network modeling has allowed increasing the resultant velocity of skier’s general center of mass in the cycle of motion due to accounting skier’s individual biomechanical characteristics. uk_UA
dc.language.iso en uk_UA
dc.publisher Journal of Physical Education and Sport uk_UA
dc.subject skier uk_UA
dc.subject hearing impairment uk_UA
dc.subject technique uk_UA
dc.subject modeling uk_UA
dc.subject neural network uk_UA
dc.title Neural network modeling of diagonal stride technique of highly qualified skiers with hearing impairments uk_UA
dc.title.alternative Нейромережеве моделювання діагональної крокової техніки висококваліфікованих лижників з порушеннями слуху uk_UA
dc.type Article uk_UA


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