The thorough analysis of periodized training processes is one of the most important issues of training science with regard to two crucial elements: a) the understanding of the time course of adaptation (Rowbottom, Keast, & Morton, 1998), and b) the optimum monitoring of training. In contrast to linear mathematical concepts that have commonly been used for training analysis (Calvert, Banister, Savage, & Bach, 1976; Banister, & Calvert, 1980; Banister, 1982; Busso, Häkkinen, Pekarinen, Carasso, Lacour, Komi, & Kauhanen, 1991; Hohmann, 1992; Busso, Denis, Bonnefroy, Geyssant, & Lacour, 1997; Mujika, Busso, Geyssant, Chatard, Lacoste, & Barale, 1986; Fitz-Clarke, Morton, & Banister, 1991; Mujika, Busso, Lacoste, Barale, Geyssant, & Chatard, 1996; Hooper, & Mackinnon, 1998; Chatard, & Mujika, 1999), our approch to the Analysis & Modeling is based on a synergetic concept of training and therefore includes nonlinear methods to model training processes.
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