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Modeling Human Performance

623 bytes added, 13:30, 16 May 2016
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performance = fitness * k1 - fatigue * k2;
}
This model uses four constants.
* k1 is a positive weighting constant for fitness.
* k2 is a positive weighting constant for fatigue, with
* A larger k1 than k2 indicates an individual takes longer to recover, whereas a larger k2 than k1 indicates a faster recovery.
* r1 is the time decay for fitness in days (how long does it take for fitness to return to baseline).
* r2 is the time decay for fatigue in days (how long does it take for fatigue to return to baseline).
* Because fitness lasts longer than fatigue, r1 is larger (longer) than r2.
* The original paper used values of k1=1.0, k2=1.8-2.0, r1=49-50, r2=11.
=The Busso Model=
Thierry Busso created a refinement of the Banister model to try to take account of how an increase in [[Training Monotony]] also increased fatigue. This modification of Banister changes k2 from being a constant to being an exponential decay of the training stress.

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