A model and a means of preliminary estimation of the predicted time for a trainee to complete a running distance, taking into account the training parameters using direct propagation neural networks

Автор: Yakovlev G.A., Tumanov D.A., Shirshova T.A.

Журнал: Международный журнал гуманитарных и естественных наук @intjournal

Рубрика: Педагогические науки

Статья в выпуске: 2-1 (89), 2024 года.

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The aim of the work is to create a model and a means of preliminary estimation of the predicted time for a trainee to complete a 3 km running distance, taking into account the training parameters using direct propagation neural networks. The research method is the theory of neural networks. The hypothesis of the study is to improve the quality of the model for predicting the time of distance passing, taking into account the training parameters using neural networks by increasing the accuracy of the assessment by taking into account the main factors. The result of the work is a neural network model and a means of preliminary estimation of the predicted time for a trainee to complete a running distance.

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Neural networks, safety, running, training, parameters, factor

Короткий адрес: https://sciup.org/170203302

IDR: 170203302   |   DOI: 10.24412/2500-1000-2024-2-1-257-261

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