Прогноз результатов олимпиады-2014 в мужском одиночном фигур-ном катании методами искусственного интеллекта
A computer program is designed to predict outcomes in men´s singles figure skating in 2014. Program is based on a neural network trained on the results of the previous world championships. There is a demonstration prototype, which assesses the chances of winning for each of the four possible candidates. The program also allows to evalu-ate the influence of the athlete parameters for their athletic successes, as well as to select the optimal combination of these parameters for each athlete. By examining of the developed mathematical model were derived recom-mendations for the main contenders for victory: E. Plushenko, P. Chan, D. Weier, R. Kevin, to improve their ath-letic performance.