In threads where training philosophy comes up, discussions of TRIMPS and TSS and other training models occasionally intrude. These models are not very well known, and even more poorly understood, so probably SolarEnergy, qbrain and I are just talking to each other and killing threads in those conversations. In any case, I figured I would present a brief overview of what it is that we're talking about when this terminology starts showing up.
Best case, this will introduce these models to the subset of swimmers (or coaches) who would be interested enough to use them, but didn't previously know enough to do so.
Plus, even if you're not the type to be interested in quantifying your training, it can be useful to think about workouts in this general framework.
And, at the very least, this might serve as a place to discuss some of the details without worrying about driving those other threads too far off-topic.
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I agree that for achieving a better fit, time constants should be adjusted on a per individual basis. It's done through a long process of trial and error involving reconciliation between the peaks that the graphs generated with the actual performance that was delivered.
So is the recommendation expressed by the authors of most modern impulse-response models.
That said though, and with all due respect for the quality of the research you've been doing so far, it is also strongly recommended to use weighted averaged scoring data to these models for better accuracy, as opposed to rely solely on distance sort of inputs.
Moreover, since there's a very strong sprinting over shorter distances component to most swimmers, I would certainly prioritize using weighted avg scoring data over adjusting time constant for better accuracy.
I agree that for achieving a better fit, time constants should be adjusted on a per individual basis. It's done through a long process of trial and error involving reconciliation between the peaks that the graphs generated with the actual performance that was delivered.
So is the recommendation expressed by the authors of most modern impulse-response models.
That said though, and with all due respect for the quality of the research you've been doing so far, it is also strongly recommended to use weighted averaged scoring data to these models for better accuracy, as opposed to rely solely on distance sort of inputs.
Moreover, since there's a very strong sprinting over shorter distances component to most swimmers, I would certainly prioritize using weighted avg scoring data over adjusting time constant for better accuracy.
