Evaluation Model of Soccer Training Technology Based on Artificial Intelligence

Abstract

Abstract Modern football competition has the characteristics of fierce confrontation, long duration, intensity of the game and large amount of exercise, and has high technical and tactical requirements. Therefore, the scientific and technical ability evaluation system plays a decisive role in football. One of the key factors for the real development of Chinese football is how to train and select young football talents scientifically. In order to train football talents better, this paper combines with artificial intelligence technology to study the evaluation model of football training technology. According to the characteristics and laws of football, this paper analyzes the index composition of football competitive ability. Combined with the traditional clustering data model, a support vector machine classification algorithm is proposed to construct the evaluation model of football training technology. Finally, this paper takes a professional team and a semi-professional team as an example and adds soccer evaluation model into their daily training. The results show that the evaluation efficiency is 24.12% higher than that of traditional artificial team, which proves the feasibility of this model.