Методика прогнозирования результатов спортивных состязаний на примере чемпионата мира-2015 по легкой атлетике
A computer program intended for detecting regularities and forecasting the results of men’s 100 m of the World Cup -2015 in track and field athletics is developed. The neural network based on the results of the previous World Cups and the Olympic Games lies in the heart of the program. Besides forecasts the program allows to estimate the influence of the parameters’ change characterizing athletes on heir sports results, and also to select optimum combinations of these parameters for each athlete. By research of neuronetwork mathematical model recommendations about improvement of productivity of well-known athletes are developed: Useyn Bolte, Tyson Gay, Christoff Lemetr, Nessa Carter, Johan Blake and Justin Getlin.