The use of neural networks in the training of young hockey players
Abstract and keywords
Abstract (English):
The article examines the training process for high-level athletes using the example of hockey players who have not reached the age of majority. This is a fundamental prerequisite for finding tools for solving problems in this area. By improving tactical abilities, young athletes prepare themselves to reach new heights in a selected sport. The conceptual model of the training process proposed in the article is based on mathematical methods and models, in particular on neural-network modeling using neurodifferential equations.

Keywords:
hockey, technical training, gaming activities, tactical techniques, neural networks, neural network modeling, neurodifferential equations
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References

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