Planning Training Loads for the 400 M Hurdles in Three-Month Mesocycles using Artificial Neural Networks

This paper presents a novel approach to planning training loads in hurdling using artificial neural networks. The neural models performed the task of generating loads for athletes’ training for the 400 meters hurdles. All the models were calculated based on the training data of 21 Polish National Te...

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Detalles Bibliográficos
Autores principales: Przednowek, Krzysztof, Iskra, Janusz, Wiktorowicz, Krzysztof, Krzeszowski, Tomasz, Maszczyk, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: De Gruyter Open 2017
Materias:
Section III – Sports Training
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5765798/
https://www.ncbi.nlm.nih.gov/pubmed/29339998
http://dx.doi.org/10.1515/hukin-2017-0101

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5765798/
https://www.ncbi.nlm.nih.gov/pubmed/29339998
http://dx.doi.org/10.1515/hukin-2017-0101

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