In this paper a system constructed on the basis of data obtained from workout of race walking athletes has been presented. The system’s main objective is to define the optimal level of workout load so that the athlete achieves the determined result over the distance of 5 km. The system has been built using artificial neural networks implemented in the Statistica 10 software. The networks perform two tasks, i.e. they generate workout scheme and predict the result. The system has an advisory nature and plays the role of a tool supporting coach’s decision making.
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