Use of Machine Learning to Model Volume Load Effects on Changes in Jump Performance.

Journal: International journal of sports physiology and performance

PMID: 31094253

Abstract

PURPOSE: To use an artificial neural network (ANN) to model the effect of 15 weeks of resistance training on changes in countermovement jump (CMJ) performance in male track-and-field athletes.

Authors

Kristof Kipp

Department of Physical Therapy - Program in Exercise Science, Marquette University, Milwaukee, WI, USA. Electronic address: kristof.kipp@marquette.edu.
John Krzyszkowski
Daniel Kant-Hull

Keywords

Athletic Performance Humans Machine Learning Male Plyometric Exercise Resistance Training Time Factors Track and Field Young Adult

External Resources

View on PubMed Access via DOI PubMed (31094253)

Use of Machine Learning to Model Volume Load Effects on Changes in Jump Performance.

Abstract

Authors

Keywords

External Resources

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