Research on intelligent analysis strategies to improve athletes' psychological experience in the era of artificial intelligence

Abstract

In order to improve the psychological quality of athletes, this paper combines artificial intelligence technology to quantitatively analyze the psychological experience of athletes. Moreover, in view of the insufficiency of the ASI method to standardize the data, this study proposes to use the normalization method for processing. In addition, in order to verify the feasibility and effectiveness of the research and development of the multi-dimensional dual-objective CD-CAT topic selection strategy, this paper adopts the Monte Carlo simulation experiment method to analyze the data. Finally, this paper constructs an analysis system of athlete's psychological experience and intelligent decision-making based on artificial intelligence. The experimental data analysis results show that the intelligent decision-making system based on artificial intelligence for athletes' psychological experience proposed in this paper has a good effect and can effectively promote the psychological training effect of athletes.