Opis: | Computational intelligence algorithms are methods inspired by nature and, thus, they try to solve hard problems by mimicking the behavior of natural systems. Under a common umbrella, this algorithm family associates the following aforementioned members: artificial neural networks, evolutionary algorithms, swarm intelligence algorithms, artificial immune systems, fuzzy systems and probability methods. These algorithms have been applied successfully to almost all areas of human engagement through time. However, their presence within the sport domain has not been perceived yet. Therefore, this dissertation opens a new research area, where computational intelligence algorithms are used for the development of an Artificial Sport Trainer. Roughly speaking, an Artificial Sport Trainer is a system that involves computational intelligence algorithms in order to support different stages of sport training. In the first part of the existent dissertation, we outline an overview of existing computational intelligence algorithms, touch the fundamentals of sport training, and present the concept of an Artificial Sport Trainer. In the experimental part of the dissertation, we present two practical applications of an Artificial Sport Trainer. The former presents planning the sport sessions for various sport training cycles, while the latter deals with the discovering of an athlete's habits during sports training sessions. The obtained results prove the efficiency of the Artificial Sport Trainer and encourage us for further development. |
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