Evaluation model of young basketball players physical quality and basic technique based on rbf neural network
In order to conduct comprehensive judgment on young basketball players physical quality and basic technique scientifically and systemically, this study establishes the combination evaluation model of young basketball players physical quality and basic technique, uses fuzzy analytic hierarchy process to determine the weight of each level indicator and calculate the combination weights of the lowest level indicators, and carries through a comprehensive evaluation of the different young basketball players physical quality and basic technique using Topsis method. The evaluation results truly reflect the comprehensive situation of every athlete, and the use of the indicators in the evaluation model to establish the RBF neural network model making the evaluation modeled. This model provides a new idea for the comprehensive evaluation of young basketball players physical quality and basic technique, and is conducive to the timely monitoring and regulation on training for coaches and young basketball players. 2013 Trade Science Inc. INDIA