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Re: A New Approach To Predict Performance [jjstains]
jjstains wrote:
So, if I'm reading this right, the Neural Network model is better able to predict diminishing returns from training stimulus than the Banister/TSS model is? Not only that, but it can also do so on an extremely personalized level for each athlete?


Exactly!

I'll go a step further and say that the Banister/PMC model, in and of itself, cannot account for diminishing returns *AT ALL*

For a given set of constants at a given time, it will always predict that if you increase load by x%, you will increase performance by y% e.g. if you go from 0-10 CTL, the performance bump is the same as going from 100-110 CTL. Any coach/athlete with any experience knows this just doesn't happen in 'real life'.

Once an athlete reaches a fairly moderate level of fitness, the model falls apart.

Bottom line: In this day and age, there are far better models available.

Alan Couzens, M.Sc. (Sports Science)
Exercise Physiologist/Coach
Twitter: https://twitter.com/Alan_Couzens
Web: https://alancouzens.com
Last edited by: Alan Couzens: Jan 14, 19 8:55

Edit Log:

  • Post edited by Alan Couzens (Cloudburst Summit) on Jan 14, 19 8:44
  • Post edited by Alan Couzens (Cloudburst Summit) on Jan 14, 19 8:45
  • Post edited by Alan Couzens (Cloudburst Summit) on Jan 14, 19 8:55