Artificial neural network predictive models for optimizing the training process in race walking: a longitudinal observational study.

Skalski D, Prończuk M, Łosińska K, Stastny P, Maszczyk A, Zajac A

DOI: 10.7717/peerj.21224
Published: 2026
Container: PeerJ
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.7717/peerj.21224,
  title = {Artificial neural network predictive models for optimizing the training process in race walking: a longitudinal observational study.},
  author = {Skalski D and Prończuk M and Łosińska K and Stastny P and Maszczyk A and Zajac A},
  year = {2026},
  journal = {PeerJ},
  doi = {10.7717/peerj.21224},
  url = {https://doi.org/10.7717/peerj.21224}
}

RIS

TY  - JOUR
TI  - Artificial neural network predictive models for optimizing the training process in race walking: a longitudinal observational study.
AU  - Skalski D
AU  - Prończuk M
AU  - Łosińska K
AU  - Stastny P
AU  - Maszczyk A
AU  - Zajac A
PY  - 2026
JO  - PeerJ
DO  - 10.7717/peerj.21224
UR  - https://doi.org/10.7717/peerj.21224
ER  -

APA

D, S., M, P., K, Ł., P, S., A, M., & A, Z. (2026). Artificial neural network predictive models for optimizing the training process in race walking: a longitudinal observational study.. PeerJ. https://doi.org/10.7717/peerj.21224

Source records

pubmed · retrieved 2026-09-25T02:48:49.429Z