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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
De Gruyter Open
2017
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| Materias: | |
| 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 |