All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Abstract

Evaluation model of young basketball playersÃ?Â?Ã?Â?Ã?Â?Ã?Â?Ã?Â?Ã?Â?Ã?Â?Ã?Â?Ã?Â?Ã?Â?Ã?Â?Ã?Â?Ã?Â?Ã?Â?Ã?Â?Ã?Â? physical quality and basic technique based on rbf neural network

Author(s): Guang Lu

In order to conduct comprehensive judgment on young basketball playersÂÂ’ physical quality and basic technique scientifically and systemically, this study establishes the combination evaluation model of young basketball playersÂÂ’ 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 playersÂÂ’ 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 networkmodelmaking the evaluationmodeled. Thismodel provides a new idea for the comprehensive evaluation of young basketball playersÂÂ’ physical quality and basic technique, and is conducive to the timelymonitoring and regulation on training for coaches and young basketball players.


Share this       
Awards Nomination

Table of Contents

Google Scholar citation report
Citations : 875

BioTechnology: An Indian Journal received 875 citations as per Google Scholar report

Indexed In

  • CASS
  • Google Scholar
  • Open J Gate
  • China National Knowledge Infrastructure (CNKI)
  • CiteFactor
  • Cosmos IF
  • Directory of Research Journal Indexing (DRJI)
  • Secret Search Engine Labs
  • Euro Pub
  • ICMJE

View More

Flyer