APPLICATION ANALYSIS OF DIGITAL NEURAL NETWORK-BASED DATA MINING METHOD IN MAXIMIZING THE PERFORMANCE OF SPORTS TRAINING

ANÁLISE DE APLICAÇÃO DO MÉTODO DE MINERAÇÃO DE DADOS BASEADO EM REDE NEURAL DIGITAL NA MAXIMIZAÇÃO DO DESEMPENHO DO TREINAMENTO ESPORTIVO

ANÁLISIS DE LA APLICACIÓN DEL MÉTODO DE MINERÍA DE DATOS BASADO EN REDES NEURONALES DIGITALES PARA MAXIMIZAR EL RENDIMIENTO DEL ENTRENAMIENTO DEPORTIVO

ABSTRACT

Introduction:

In today's rapid development of science and technology, digital network data mining technology is developing as fast as the expansion of the frontiers of science and technology allows, with a very broad application level, covering most of the civilized environment. However, there is still much to explore in the application of sports training.

Objective:

Analyze the feasibility of data mining based on the digital network of sports training, maximizing athletes’ training.

Methods:

This paper uses the experimental analysis of human FFT, combined with BP artificial intelligence network and deep data mining technology, to design a new sports training environment. The controlled test of this model was designed to compare advanced athletic training modalities with traditional modalities, comparing the athletes’ explosive power, endurance, and fitness.

Results:

After 30 days of physical training, the athletic strength of athletes with advanced fitness increased by 15.33%, endurance increased by 15.85%, and fitness increased by 14.23%.

Conclusion:

The algorithm designed in this paper positively impacts maximizing athletes’ training. It may have a favorable impact on training outcomes, as well as increase the athlete's interest in the sport. Level of evidence II; Therapeutic studies - investigating treatment outcomes.

Keywords:
Data Analysis; Neural Networks, Computer; Data Mining; Physical Education and Training