The Characteristics and Monitoring System of Athletes’ Physical Strength Training Based on Tunable Neuron Mathematical Model

• Autores: Jinyan Liu
• Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 8, Nº. 1, 2023, págs. 3125-3134
• Idioma: inglés
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• Resumen

  • In this paper, an adjustable neural network model is developed to predict the physical training load of athletes. This papertakes 48 contestants as experimental subjects. Then the average speed prediction method, nonlinear regression modelprediction method and neural network model prediction method model are established to predict the training load. Thispaper uses three different prediction models to compare the training results. The relative error rate calculated by theaverage rate prediction method is about 23%. The close error rate calculated by the linear regression method is about 32%.The relative error rate calculated by the adjustable neural network is around 8%. The e flexible neural network model hasgood prediction accuracy