Performance prediction in cycling using antagonistic models

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Bibliographische Detailangaben
Deutscher übersetzter Titel:Leistungsvorhersage beim Radfahren unter Verwendung antagonistischer Modelle
Autor:Ganter, Nico; Witte, Kerstin; Edelmann-Nusser, Jürgen
Erschienen in:International journal of computer science in sport
Veröffentlicht:5 (2006), 2, S. 56-59, Lit.
Format: Literatur (SPOLIT)
Publikationstyp: Zeitschriftenartikel
Medienart: Gedruckte Ressource
Sprache:Englisch
ISSN:1684-4769
Schlagworte:
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Erfassungsnummer:PU201109007807
Quelle:BISp

Abstract des Autors

Two antagonistic models are used to model the training-performance relationship
during an eight week cycling training, with a prediction of the performances in the
last week of training. Results indicated different qualities of the model fits for the
test data for both models. Mean differences between predicted and real
performances were 2.39% for the Fitness-Fatigue-Model and 4.43% for the
PerPot-Model. However, the Fitness-Fatigue-Model parameters remain
questionable in terms of physiological interpretation. Hence, the PerPot-Model is
preferred, although the general applicability for performance prediction in the
presented cycling training situation can not be supported.