Comparing the advantages and disadvantages of physics-based and neural network-based modelling for predicting cycling power-Reference-Cited by-同舟云学术

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Comparing the advantages and disadvantages of physics-based and neural network-based modelling for predicting cycling power

Published:2024-05 Issue: Volume:169 Page:112121
ISSN:0021-9290
Container-title:Journal of Biomechanics
language:en
Short-container-title:Journal of Biomechanics

Author:

Mayerhofer Patrick^ORCID,Bajić Ivan,Maxwell Donelan J.

Funder

NSERC

Publisher

Elsevier BV

Reference25 articles.

1. Simple Models of Human Movement;Alexander;Appl. Mech. Rev.,1995

2. Modelling approaches in biomechanics;Alexander;Philos. Trans. R. Soc. Lond. B Biol. Sci.,2003

3. On the complexity of neural network classifiers: a comparison between shallow and deep architectures;Bianchini;IEEE Trans. Neural Netw. Learn Syst,2014

4. An experimental study on the comparative analysis of the effect of the number of data on the error rates of artificial neural networks;Çolak;Int. J. Energy Res.,2021

5. Applications of Mathematical Models of Road Cycling;Dahmen;IFAC Proceedings Volumes,2012

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