Application of a deep learning neural network to predict the results of athletes’ competitions based on hematological indicators
The use of the most significant hematological indicators for a computer program for predicting the success of swimmers' performance based on a deep machine learning neural network and the Keras open source library is considered
Authors
- Е. И. Барчукова (ORCID: https://orcid.org/0000-0002-7785-3525)
- В. В. Барчуков (ORCID: https://orcid.org/0000-0003-4229-3107)
- Alexandr Bolotov (ORCID: https://orcid.org/0000-0002-2012-7725)
- Alexander Galuzin (ORCID: https://orcid.org/0009-0003-5126-8189)
- Oksana Onopchenko
- Andrey Ten
Institutions
- State Scientific Center of the Russian Federation - Federal Medical Biophysical Center named after A.I. Burnazyan (RU)
- Federal Medical-Biological Agency (RU)
Publication Details
- Published
- 2024-12-30
- DOI
- https://doi.org/10.62105/conferencearticle_67730e28653b98.50043644
- Primary Topic
- Physical Education and Training Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00