Abstract
This paper aims to conduct a quantitative analysis of the factors influencing the growth rate of basketball players. To achieve this goal, the paper adopts a method of entropy weight combined with ideal solution approximation comprehensive evaluation method, to analyze the growth rate of the athletes. Furthermore, to explore the relationship between various factors and the players’ growth rate, a backpropagation (BP) neural network is utilized to fit the impact level of each independent variable and the dependent variable. Therefore, the method proposed in this paper can provide a more accurate, practical, and flexible evaluation method for ranking basketball players, thus supporting training, and offering reference for other similar sports competitions.
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