Predicting oxygen uptake responses during cycling at varied intensities using an artificial neural network
By:
Metrics
DOI: https://doi.org/10.2478/bhk-2019-0008 | Journal eISSN: 2080-2234
Language: English
Page range: 60 - 68
Submitted on: Sep 16, 2018
Accepted on: Mar 18, 2019
Published on: Mar 26, 2019
Published by: University of Physical Education in Warsaw
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year
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© 2019 Andrew Borror, Michael Mazzoleni, James Coppock, Brian C. Jensen, William A. Wood, Brian Mann, Claudio L. Battaglini, published by University of Physical Education in Warsaw
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.